I am workin on a project in c# of modeling building for greenBuilding.
for the simulation, I need to put the vertices for the outside of the flat external wall, the the centeral of the wall between flats.
For this, I am doing great and I also calculated the area.
But I also need the NET floor area by reducing the walls thickness.
Not all the wall have the same thickness but I do know this
the Gross area
the thickness of each wall
the length of each wall
How can I substract the walls from the Gross to get the NET floor area
in the example i loaded,
I have the vertices of the pink polygon and use a formuka to find the area of 1400 and than I moved two line by 5 and the rest by 4.
How do I find the net areaI am workin on a project in c# of modeling building for greenBuilding.
for the simulation, I need to put the vertices for the outside of the flat external wall, the the centeral of the wall between flats.
For this, I am doing great and I also calculated the area.
But I also need the NET floor area by reducing the walls thickness.
Not all the wall have the same thickness but I do know this
the Gross area
the thickness of each wall
the length of each wall
How can I substract the walls from the Gross to get the NET floor area
in the example i loaded,
I have the vertices of the pink polygon and use a formuka to find the area of 1400 and than I moved two line by 5 and the rest by 4.
How do I find the net area I am workin on a project in c# of modeling building for greenBuilding.
for the simulation, I need to put the vertices for the outside of the flat external wall, the the centeral of the wall between flats.
For this, I am doing great and I also calculated the area.
But I also need the NET floor area by reducing the walls thickness.
Not all the wall have the same thickness but I do know this
the Gross area
the thickness of each wall
the length of each wall
How can I substract the walls from the Gross to get the NET floor area
in the example i loaded,
I have the vertices of the pink polygon and use a formuka to find the area of 1400 and than I moved two line by 5 and the rest by 4.
How do I find the net area polygon area, vertices MATLAB Answers — New Questions

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I have a multi-dimensional cell array and matrix, whose columns correspons to indices of the cell array. I want to populate the cells with arrays that correspond to the indices of the columns that refer to the given cell.
Minimal example:
A=cell(2,2);
B=[1 2 2 1 1; 2 1 2 1 2]
A{1,1}=[4];
A{1,2}=[1,5];
A{2,1}=[2];
A{2,2}=[3]
I’m trying to do this automatically by looping over the columns of the matrix B, but I can’t figure out how to extract the entries of the array without keeping the array form. Calling neither
A(B(:,1))
nor
A{B(:,1)}
produces the correct entry
A{1,2}I have a multi-dimensional cell array and matrix, whose columns correspons to indices of the cell array. I want to populate the cells with arrays that correspond to the indices of the columns that refer to the given cell.
Minimal example:
A=cell(2,2);
B=[1 2 2 1 1; 2 1 2 1 2]
A{1,1}=[4];
A{1,2}=[1,5];
A{2,1}=[2];
A{2,2}=[3]
I’m trying to do this automatically by looping over the columns of the matrix B, but I can’t figure out how to extract the entries of the array without keeping the array form. Calling neither
A(B(:,1))
nor
A{B(:,1)}
produces the correct entry
A{1,2} I have a multi-dimensional cell array and matrix, whose columns correspons to indices of the cell array. I want to populate the cells with arrays that correspond to the indices of the columns that refer to the given cell.
Minimal example:
A=cell(2,2);
B=[1 2 2 1 1; 2 1 2 1 2]
A{1,1}=[4];
A{1,2}=[1,5];
A{2,1}=[2];
A{2,2}=[3]
I’m trying to do this automatically by looping over the columns of the matrix B, but I can’t figure out how to extract the entries of the array without keeping the array form. Calling neither
A(B(:,1))
nor
A{B(:,1)}
produces the correct entry
A{1,2} cell array, index, array MATLAB Answers — New Questions

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I am currently working on the EMTP software and after simulation while i start MPLOT it showing me an error,

I tried installing the 9.3 version but still getting the same error. Please Let me know if anyone got the solution.I am currently working on the EMTP software and after simulation while i start MPLOT it showing me an error,

I tried installing the 9.3 version but still getting the same error. Please Let me know if anyone got the solution. I am currently working on the EMTP software and after simulation while i start MPLOT it showing me an error,

I tried installing the 9.3 version but still getting the same error. Please Let me know if anyone got the solution. dll, emtp, mplot, error MATLAB Answers — New Questions

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Dear All,

I have this code but when I run it it takes one day and half to run. How can I speed it up?

Best regards,
Ara
clear all;
clc;
% Set the folder path where the .nc files are located
folderPath = ‘E:datapodtc_apr’;
% Get a list of all NetCDF files in the folder
fileList = dir(fullfile(folderPath, ‘*_nc’));
numFiles = numel(fileList);
% Initialize the data structures
data = cell(numFiles, 1);
dateArray = [];
typeArray = cell(numFiles, 1);
% Loop through each file
for fileIndex = 1:numFiles
% Read the NetCDF file
filePath = fullfile(folderPath, fileList(fileIndex).name);
% Read the data from the NetCDF file
ncinfo_struct = ncinfo(filePath);
if isfield(ncinfo_struct, ‘Variables’)
variable_names = {ncinfo_struct.Variables.Name};

if all(ismember({‘time’, ‘TEC’, ‘S4’, ‘RFI’, ‘elevation’, ‘occheight’, ‘caL1_SNR’, ‘pL2_SNR’, ‘x_LEO’, ‘y_LEO’, ‘z_LEO’, ‘x_GPS’, ‘y_GPS’, ‘z_GPS’}, variable_names))
% Extract the date and type information from the file name
[~, filename, ~] = fileparts(fileList(fileIndex).name);
dateStr = regexp(filename, ‘d{4}.d{3}’, ‘match’, ‘once’);
typeStr = regexp(filename, ‘Gd{2}|Rd{2}’, ‘match’, ‘once’);
% Read the data from the NetCDF file
data{fileIndex}.time = ncread(filePath, ‘time’);
data{fileIndex}.TEC = ncread(filePath, ‘TEC’);
data{fileIndex}.S4 = ncread(filePath, ‘S4’);
data{fileIndex}.RFI = ncread(filePath, ‘RFI’);
data{fileIndex}.elevation = ncread(filePath, ‘elevation’);
data{fileIndex}.occheight = ncread(filePath, ‘occheight’);
data{fileIndex}.caL1_SNR = ncread(filePath, ‘caL1_SNR’);
data{fileIndex}.pL2_SNR = ncread(filePath, ‘pL2_SNR’);
data{fileIndex}.x_LEO = ncread(filePath, ‘x_LEO’);
data{fileIndex}.y_LEO = ncread(filePath, ‘y_LEO’);
data{fileIndex}.z_LEO = ncread(filePath, ‘z_LEO’);
data{fileIndex}.x_GPS = ncread(filePath, ‘x_GPS’);
data{fileIndex}.y_GPS = ncread(filePath, ‘y_GPS’);
data{fileIndex}.z_GPS = ncread(filePath, ‘z_GPS’);
% Store the date and type information
dateArray = [dateArray, str2double(dateStr)];
typeArray{fileIndex} = typeStr;
else
% Skip this file and move on to the next one
fprintf(‘File "%s" does not contain all the required variables. Skipping this file.n’, fileList(fileIndex).name);
continue;
end
else
% Skip this file and move on to the next one
fprintf(‘File "%s" does not contain the "Variables" field. Skipping this file.n’, fileList(fileIndex).name);
continue;
end
end
% Sort the data by date and type
[sortedDates, sortedIndices] = sort(dateArray);
sortedTypes = cellfun(@(x) x, typeArray(sortedIndices), ‘UniformOutput’, false);
% Create the sorted data structures
sortedData = cell(numFiles, 1);
for i = 1:numFiles
sortedData{i} = data{sortedIndices(i)};
end
% Save the data to a .mat file
save(‘podtc_apr_data.mat’, ‘sortedData’, ‘sortedDates’, ‘sortedTypes’);Dear All,

I have this code but when I run it it takes one day and half to run. How can I speed it up?

Best regards,
Ara
clear all;
clc;
% Set the folder path where the .nc files are located
folderPath = ‘E:datapodtc_apr’;
% Get a list of all NetCDF files in the folder
fileList = dir(fullfile(folderPath, ‘*_nc’));
numFiles = numel(fileList);
% Initialize the data structures
data = cell(numFiles, 1);
dateArray = [];
typeArray = cell(numFiles, 1);
% Loop through each file
for fileIndex = 1:numFiles
% Read the NetCDF file
filePath = fullfile(folderPath, fileList(fileIndex).name);
% Read the data from the NetCDF file
ncinfo_struct = ncinfo(filePath);
if isfield(ncinfo_struct, ‘Variables’)
variable_names = {ncinfo_struct.Variables.Name};

if all(ismember({‘time’, ‘TEC’, ‘S4’, ‘RFI’, ‘elevation’, ‘occheight’, ‘caL1_SNR’, ‘pL2_SNR’, ‘x_LEO’, ‘y_LEO’, ‘z_LEO’, ‘x_GPS’, ‘y_GPS’, ‘z_GPS’}, variable_names))
% Extract the date and type information from the file name
[~, filename, ~] = fileparts(fileList(fileIndex).name);
dateStr = regexp(filename, ‘d{4}.d{3}’, ‘match’, ‘once’);
typeStr = regexp(filename, ‘Gd{2}|Rd{2}’, ‘match’, ‘once’);
% Read the data from the NetCDF file
data{fileIndex}.time = ncread(filePath, ‘time’);
data{fileIndex}.TEC = ncread(filePath, ‘TEC’);
data{fileIndex}.S4 = ncread(filePath, ‘S4’);
data{fileIndex}.RFI = ncread(filePath, ‘RFI’);
data{fileIndex}.elevation = ncread(filePath, ‘elevation’);
data{fileIndex}.occheight = ncread(filePath, ‘occheight’);
data{fileIndex}.caL1_SNR = ncread(filePath, ‘caL1_SNR’);
data{fileIndex}.pL2_SNR = ncread(filePath, ‘pL2_SNR’);
data{fileIndex}.x_LEO = ncread(filePath, ‘x_LEO’);
data{fileIndex}.y_LEO = ncread(filePath, ‘y_LEO’);
data{fileIndex}.z_LEO = ncread(filePath, ‘z_LEO’);
data{fileIndex}.x_GPS = ncread(filePath, ‘x_GPS’);
data{fileIndex}.y_GPS = ncread(filePath, ‘y_GPS’);
data{fileIndex}.z_GPS = ncread(filePath, ‘z_GPS’);
% Store the date and type information
dateArray = [dateArray, str2double(dateStr)];
typeArray{fileIndex} = typeStr;
else
% Skip this file and move on to the next one
fprintf(‘File "%s" does not contain all the required variables. Skipping this file.n’, fileList(fileIndex).name);
continue;
end
else
% Skip this file and move on to the next one
fprintf(‘File "%s" does not contain the "Variables" field. Skipping this file.n’, fileList(fileIndex).name);
continue;
end
end
% Sort the data by date and type
[sortedDates, sortedIndices] = sort(dateArray);
sortedTypes = cellfun(@(x) x, typeArray(sortedIndices), ‘UniformOutput’, false);
% Create the sorted data structures
sortedData = cell(numFiles, 1);
for i = 1:numFiles
sortedData{i} = data{sortedIndices(i)};
end
% Save the data to a .mat file
save(‘podtc_apr_data.mat’, ‘sortedData’, ‘sortedDates’, ‘sortedTypes’); Dear All,

I have this code but when I run it it takes one day and half to run. How can I speed it up?

Best regards,
Ara
clear all;
clc;
% Set the folder path where the .nc files are located
folderPath = ‘E:datapodtc_apr’;
% Get a list of all NetCDF files in the folder
fileList = dir(fullfile(folderPath, ‘*_nc’));
numFiles = numel(fileList);
% Initialize the data structures
data = cell(numFiles, 1);
dateArray = [];
typeArray = cell(numFiles, 1);
% Loop through each file
for fileIndex = 1:numFiles
% Read the NetCDF file
filePath = fullfile(folderPath, fileList(fileIndex).name);
% Read the data from the NetCDF file
ncinfo_struct = ncinfo(filePath);
if isfield(ncinfo_struct, ‘Variables’)
variable_names = {ncinfo_struct.Variables.Name};

if all(ismember({‘time’, ‘TEC’, ‘S4’, ‘RFI’, ‘elevation’, ‘occheight’, ‘caL1_SNR’, ‘pL2_SNR’, ‘x_LEO’, ‘y_LEO’, ‘z_LEO’, ‘x_GPS’, ‘y_GPS’, ‘z_GPS’}, variable_names))
% Extract the date and type information from the file name
[~, filename, ~] = fileparts(fileList(fileIndex).name);
dateStr = regexp(filename, ‘d{4}.d{3}’, ‘match’, ‘once’);
typeStr = regexp(filename, ‘Gd{2}|Rd{2}’, ‘match’, ‘once’);
% Read the data from the NetCDF file
data{fileIndex}.time = ncread(filePath, ‘time’);
data{fileIndex}.TEC = ncread(filePath, ‘TEC’);
data{fileIndex}.S4 = ncread(filePath, ‘S4’);
data{fileIndex}.RFI = ncread(filePath, ‘RFI’);
data{fileIndex}.elevation = ncread(filePath, ‘elevation’);
data{fileIndex}.occheight = ncread(filePath, ‘occheight’);
data{fileIndex}.caL1_SNR = ncread(filePath, ‘caL1_SNR’);
data{fileIndex}.pL2_SNR = ncread(filePath, ‘pL2_SNR’);
data{fileIndex}.x_LEO = ncread(filePath, ‘x_LEO’);
data{fileIndex}.y_LEO = ncread(filePath, ‘y_LEO’);
data{fileIndex}.z_LEO = ncread(filePath, ‘z_LEO’);
data{fileIndex}.x_GPS = ncread(filePath, ‘x_GPS’);
data{fileIndex}.y_GPS = ncread(filePath, ‘y_GPS’);
data{fileIndex}.z_GPS = ncread(filePath, ‘z_GPS’);
% Store the date and type information
dateArray = [dateArray, str2double(dateStr)];
typeArray{fileIndex} = typeStr;
else
% Skip this file and move on to the next one
fprintf(‘File "%s" does not contain all the required variables. Skipping this file.n’, fileList(fileIndex).name);
continue;
end
else
% Skip this file and move on to the next one
fprintf(‘File "%s" does not contain the "Variables" field. Skipping this file.n’, fileList(fileIndex).name);
continue;
end
end
% Sort the data by date and type
[sortedDates, sortedIndices] = sort(dateArray);
sortedTypes = cellfun(@(x) x, typeArray(sortedIndices), ‘UniformOutput’, false);
% Create the sorted data structures
sortedData = cell(numFiles, 1);
for i = 1:numFiles
sortedData{i} = data{sortedIndices(i)};
end
% Save the data to a .mat file
save(‘podtc_apr_data.mat’, ‘sortedData’, ‘sortedDates’, ‘sortedTypes’); speed up run MATLAB Answers — New Questions

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