public override void Process()
{
Dictionary <InputPort, double[]> datas = new Dictionary <InputPort, double[]>();
foreach (var port in InputPorts.OfType <NodeSystemLib2.FormatData1D.InputPortData1D>())
{
var read = port.Read();
datas.Add(port, read.Data.Take(read.Available).ToArray());
}
object result = null;
if (datas.Values.Count == 1)
{
_matlab.Feval(_funcHeader.Name, _funcHeader.ReturnValues.Length, out result, datas.Values.ElementAt(0));
}
else if (datas.Values.Count == 2)
{
_matlab.Feval(_funcHeader.Name, _funcHeader.ReturnValues.Length, out result, datas.Values.ElementAt(0), datas.Values.ElementAt(1));
}
var data = (double[, ])((object[])result)[0];
((NodeSystemLib2.FormatData1D.OutputPortData1D)OutputPorts.First()).Buffer.Write(data, 0, data.Length);
}
public void valeurSignal(string path)
{
bool validResult;
// Define the output
object result = null;
// Call the funtion with the path
try
{
matlab.Feval("valeur_signal", 1, out result, path);
validResult = true;
}
catch
{
validResult = false;
}
if (validResult)
{
// Display result
object[] res = result as object[];
// res[0] is the value
results_.Add((double)res[0]);
//listBox1.Items.Add((double)res[0]);
}
else
{
results_.Add(0);
listBox1.Items.Add("valeur_signal error on file " + path);
}
}
public void readWave()
{
// Matlab function use to get info about wav file
object result1 = null;
matlab.Feval("MLWavInfo", 5, out result1, fPath);
object[] res1 = result1 as object[];
fs = Math.Round((double)res1[0], 2);
ch = Math.Round((double)res1[1], 2);
totSamp = Math.Round((double)res1[2], 2);
dur = Math.Round((double)res1[3], 2);
bits = Math.Round((double)res1[4], 2);
lbl_sf.Content = "Sample Frequency: " + fs;
lbl_channels.Content = "Num of channels: " + ch;
lbl_samples.Content = "Num of Samples: " + totSamp;
lbl_bits.Content = "Bits/Sample: " + bits;
lbl_dur.Content = "Duration: " + dur;
//matlab function to read the amplitude
object result = null;
matlab.Feval("MLReadWavFile", 2, out result, fPath);
object[] res = result as object[];
d = (double[, ])res[0];
fs = (double)res[1];
//matlab function to read the freq and fresp of the wav file
object result2 = null;
matlab.Feval("MLFreqResp", 2, out result2, fPath);
object[] res2 = result2 as object[];
fResp = (double[, ])res2[0];
freq = (double[, ])res2[1];
}
//private List<string> DataBase_DownloadData(string selectedColumn, string conditionColumn, string condition)
//{
// List<string> list = new List<string>();
// if (sqlCon.State == ConnectionState.Closed)
// sqlCon.Open();
// SqlCommand sqlCmd = new SqlCommand("SELECT DISTINCT " + selectedColumn + " FROM tbStudies WHERE " + conditionColumn + " like '" + condition + "'", sqlCon);
// try
// {
// SqlDataReader dataReader = sqlCmd.ExecuteReader();
// while (dataReader.Read())
// {
// string listElement = dataReader[selectedColumn].ToString();
// list.Add(listElement);
// }
// }
// catch (Exception ex)
// {
// MessageBox.Show(ex.Message);
// }
// finally
// {
// sqlCon.Close();
// }
// return list;
// }
private void automaticalSegmentation_Click(object sender, RoutedEventArgs e)
{
metaData();
object result = null;
matlab.Feval("automaticalSegmentation", 0, out result, matlabFunctionPath);
object[] res = result as object[];
Display("wyniki_segmentacji_automatycznej");
}
private void button_Click(object sender, RoutedEventArgs e)
{
object result = null;
// Call the MATLAB function
matlab.Feval("IndividualKNN", 1, out result, settings, "C:\\users\\asuth\\Desktop\\pokemong.jpg");
MessageBox.Show("DONE");
}
//generates the wave information
private void waveInformation(String fileName)
{
object result1 = null;
matlab.Feval("MLWavInfo", 5, out result1, fileName);
object[] res1 = result1 as object[];
fs = (double)res1[0];
ch = (double)res1[1];
totSamp = (double)res1[2];
dur = Math.Round((double)res1[3], 3);
bits = (double)res1[4];
lblUpdate();
}
private void button1_Click(object sender, EventArgs e)
{
if (textBox1.Text.Equals(pass))
{
//ecg
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
// Change to the directory where the function is located
matlab.Execute(@"cd C:\Users\Hp1\Desktop");
// Define the output
object result = null;
// Call the MATLAB function myfunc
matlab.Feval("chk_general", 0, out result);// show dialog of arduino
matlab.Feval("dwt_test", 2, out result, textBox1.Text + ".txt", "C:/Users/Hp1/Desktop/ardiecg/test/" + textBox1.Text + ".txt", "C:/Users/Hp1/Desktop/ardiecg/train");
// int milliseconds = 5000;
// System.Threading.Thread.Sleep(milliseconds);
// Display result
object[] res = result as object[];
// Console.WriteLine(res[0]);
//Console.WriteLine(res[1]);
System.Diagnostics.Debug.WriteLine(res[0]);
System.Diagnostics.Debug.WriteLine(res[1]);
//Console.ReadLine();
if ((textBox1.Text + ".txt").Equals(res[0]))
{
status = true;
this.Close();
}
//ecg
else
{
// int milliseconds = 10000;
// System.Threading.Thread.Sleep(milliseconds);
System.Threading.Thread.Sleep(5000);
MessageBox.Show("Signal Not Identified!!", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
status = false;
}
}
else
{
// int milliseconds = 10000;
System.Threading.Thread.Sleep(5000);
MessageBox.Show("Signal Not Identified!!", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
status = false;
}
}
private void button2_Click(object sender, EventArgs e)//修正值摁钮
{
string str = System.Environment.CurrentDirectory;
MLApp.MLApp matlab = new MLApp.MLApp();
string comm = "";
matlab.Execute(@"cd " + str + "\\第二步计算");
//matlab.Execute("");
// Define the output
object result = null;
// Call the MATLAB function myfunc
matlab.Feval("T", 1, out result);
// matlab.Feval("myfunc", 2, out result, 3.14, 42.0, "world");
// Display result
object[] res = result as object[];
ans = (double[, ])res[0];
for (int i = 0; i < 48; i++)
{
textBox3.Text += "第" + (i + 1).ToString() + "组解: " + " dx: " + ans[i, 0].ToString() + " dy: " + ans[i, 1].ToString() + " dz: " + ans[i, 2].ToString() + Environment.NewLine;
}
//textBox3.Text = ans[1,1].ToString();
// ans = result;
// MessageBox.Show(result);
// Console.WriteLine(res[0]);
// Console.WriteLine(res[1]);
// Console.ReadLine();
// n = excel.solve1();//解第二个方程
//for(int i=0;i<48;i++)
//{ textBox3.Text += "第" + (i + 1).ToString() + "组解: " + " dx: " + n[i * 3].ToString() + " dy: " + n[i * 3 + 1].ToString() + " dz: " + n[i * 3 + 2].ToString()+Environment.NewLine; }
}
public static double[] RecognizeSketch(string filename, out int predictedClass)
{
object result = null;
predictedClass = 0;
m_Matlab.Execute(@"cd '" + m_Pwd + "\\Data'");
m_Matlab.Feval("predictClass", 2, out result, filename);
object[] res = result as object[];
if (res == null || res.Length < 2)
{
return(null);
}
//Results
//1=class, 2=imp, 3=inh
predictedClass = (int)((double)res[0]);
double[] probs = new double[3];
double[,] p = (double[, ])res[1];
for (int i = 0; i < p.GetLength(1); i++)
{
probs[i] = p[0, i];
}
return(probs);
}
public void RecogniteLetter(String fileName, TextBlock textBlock)
{
// Define the output
object result = null;
// Call the MATLAB function myfunc
_matlab.Feval("getLetterForApp", 2, out result, fileName);
// Display result
object[] res = result as object[];
string response_letter = (String)res[0];
int response_error = (int)(double)res[1];
if (response_error == 1)
{
MessageBoxResult messageBlankImage = MessageBox.Show("Wybrany obraz jest pusty. Spróbuj wybrać inny.",
"Pusty obraz",
MessageBoxButton.OK);
}
else if (response_error != 0)
{
MessageBoxResult messageBlankImage = MessageBox.Show("Bład rozpoznawania litery.",
"Bład",
MessageBoxButton.OK);
}
else
{
textBlock.Text = (String)res[0];
}
}
private void MatlabAction(string sWPID, string sPathOfApp)
{
// Folgenden Zeilen basieren auf einem Beispiel von Matlab
// Create the MATLAB instance
String sFileName = System.IO.Path.GetFileName(sPathOfApp);
String sFilePath = sPathOfApp.Replace("\\" + sFileName, "");
Type MatlabType = Type.GetTypeFromProgID("Matlab.Desktop.Application");
MLApp.MLApp matlab = (MLApp.MLApp)Activator.CreateInstance(MatlabType);
// Change to the directory where the function is located
String sExecutePath = "cd " + sFilePath;
matlab.Execute(sExecutePath);
// Define the output
object result = null;
// Call the MATLAB function myfunc
matlab.Feval(sFileName.Replace(".m", ""), 1, out result, sWPID);
// Display result
object[] res = result as object[];
// Hier könnte noch eine Abfrage folgen ob das Result ein Fehler ist !!! Ist noch nicht definiert wie das aussieht.
}
private void masstochargeMatlab_Range(double startXval, double endXval)
{
int selectedfileNumber_start = Convert.ToInt32(startXval) + 1;
int selectedfileNumber_end = Convert.ToInt32(endXval) + 1;
int selectedFileNumber = selectedfileNumber_end - selectedfileNumber_start + 1;
if (selectedfileNumber_start > intFileNumber || selectedfileNumber_start > intFileNumber)
{
//not to over max Xvalue
selectedfileNumber_start = intFileNumber;
selectedfileNumber_end = intFileNumber;
}
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
matlab.Execute(matlab_path);
object resultdata = null;
//There is no xLength Data
if (xLength == 0)
{
xLength = 25000;
}
matlab.Feval("mTcPlot_Range", 2, out resultdata, selectedfileNumber_start, selectedfileNumber_end, xLength);
object[] res = resultdata as object[];
object_To_double(res);
}
private void reducereEBtn_Click(object sender, EventArgs e)
{
if (pathTB.Text.Trim() != "")
{
try
{
MLApp.MLApp matlab = new MLApp.MLApp();
matlab.Execute(@"cd E:\FisiereWAV");
object result = null;
matlab.Feval("MyFunc3", 1, out result, selectedFile, "REcho-", selectedFilePath);
rezultatFiltrareTB.Text = "REcho-" + selectedFile;
soundFilter = new SoundPlayer(@"E:\FisiereWAV\Workspace\" + "REcho-" + selectedFile);
soundFilter.Play();
pictureBox1.Visible = true;
pictureBox1.ImageLocation = @"E:\FisiereWAV\Workspace\" + "REcho-" + Path.GetFileNameWithoutExtension(selectedFile) + ".jpg";
}
catch (Exception ex)
{
MessageBox.Show("Eroare la conexiunea cu MATLAB: " + ex.Message);
}
}
else
{
MessageBox.Show("Nu ati ales fisierul audio!", reducereEBtn.Text, MessageBoxButtons.OK, MessageBoxIcon.Warning);
}
}
private void test_struct_pass()
{
object obj_struct_out;
matlab.Feval("test_struct_out", 1, out obj_struct_out, 1, 2, 3);
object[] res_out = obj_struct_out as object[];
Debug.WriteLine(res_out);
object obj_struct_in;
matlab.Feval("test_struct_in", 3, out obj_struct_in, obj_struct_out);
object[] res = obj_struct_in as object[];
Debug.WriteLine(res[0]);
Debug.WriteLine(res[1]);
Debug.WriteLine(res[2]);
}
protected void EnhanceImage_Click(object sender, EventArgs e)
{
MLApp.MLApp matlab = new MLApp.MLApp();
matlab.Execute("cd " + Server.MapPath(MATLAB_FUNCTIONS_FOLDER));
object result = null;
App_Code.Image image = App_Code.SqlUtilities.GetImage(int.Parse(Request["id"]));
string[] temp = image.Path.Split('/');
string imageName = temp[temp.Length - 1];
matlab.Feval("enhance", 1, out result, Server.MapPath(image.Path), imageName, loggedUsername);
object[] res = result as object[];
string resultPath = "~/Images/" + loggedUsername + "/" + (string)res[0];
System.Web.UI.WebControls.Image imageControl = (System.Web.UI.WebControls.Image)ThumbnailsHolder.Controls[1];
imageControl.ImageUrl = resultPath;
if (ViewState["editedImagePath"] != null)
{
DeleteImage(null, null);
}
ViewState["editedImagePath"] = resultPath;
AddSaveDeleteButtons();
}
public void pulseFunction()
{
matlab.Execute(@"cd 'C:\Users\Anna Birgersson\Documents\MATLAB\Shimmer Matlab Instrument Driver v2.6'");//\ShimmerBiophysicalProcessingLibrary_Rev_0_10.jar");
while (isRunning)
{
// Define the output
object result = null;
// Call the MATLAB function myfunc
matlab.Feval("ecgtoheartrate", 1, out result, "7", 15, "testdata.dat");
// Display result
object[] res = result as object[];
Console.Write("\r{0} ", res[0]);
//TODO: Uppdaterar label och skriver pulsen
Dispatcher.Invoke(() =>
{
pulseLabel.Content = "Pulse: " + res[0];
});
int i;
i = Convert.ToInt32(res[0]);
allPulses.Add(i); // add pulse to allPulse list
timePulses.Add(Convert.ToInt32(sw.ElapsedMilliseconds) / 1000); // lista med tid
}
}
private void getMatlabdata()
{
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
matlab.Execute(matlab_path);
object resultdata = null;
matlab.Feval("binfileReader2", 2, out resultdata);
object[] res = resultdata as object[];
double[,] intensity = (double[, ])res[0];
fileNumber = (double)res[1];
intFileNumber = Convert.ToInt32(fileNumber);
dintensity = new double[intensity.Length];
for (int i = 0; i < intensity.Length; i++)
{
dintensity[i] = intensity[0, i];
}
InitialZedGraph();
}
Bitmap GetBitmap(string path)
{
object result = null;
// Call the MATLAB function
matlab.Feval("ReadImage", 3, out result, path, rows, columns, gaussian);
// Display result
object[] res = result as object[];
byte[,,] bs = res[0] as byte[, , ];
object[,] files = res[1] as object[, ];
object[,] descs = res[2] as object[, ];
int w = bs.GetLength(1);
int h = bs.GetLength(0);
//var h = bs.Length;
//var w = bs[0].Length;
Bitmap bmp = new Bitmap(w, h);
for (int i = 0; i < bmp.Height; i++)
{
for (int j = 0; j < bmp.Width; j++)
{
System.Drawing.Color c = System.Drawing.Color.FromArgb(bs[i, j, 0], bs[i, j, 1], bs[i, j, 2]);
bmp.SetPixel(j, i, c);
}
}
for (int i = 0; i < files.GetLength(0); i++)
{
for (int j = 0; j < files.GetLength(1); j++)
{
try
{
filenames[i, j] = files[i, j].ToString();
}
catch (Exception) { }
}
}
for (int i = 0; i < descs.GetLength(0); i++)
{
for (int j = 0; j < descs.GetLength(1); j++)
{
try
{
fileDescriptions[i, j] = descs[i, j].ToString();
}
catch (Exception) { }
}
}
return(bmp);
}
public void pcaVisualization(double[] Orignal, double[] Pca)
{
MLApp.MLApp matlb = new MLApp.MLApp();
matlb.Execute("cd C:\\temp");
object res = null;
matlb.Feval("pcaVisualizeFunc", 1, out res, Orignal, Pca);
}
private void runMATLAB(string s, string[] args)
{
MLApp.MLApp matlab = new MLApp.MLApp();
object matlabResult = null;
matlab.Execute(@"cd C:\work\temp\images\simple");
matlab.Feval(s, 0, out matlabResult, args[0], args[1], args[2]);
}
private void btn_RotateImg_Click(object sender, RoutedEventArgs e)
{
MLApp.MLApp matlab = new MLApp.MLApp();
object matlabResult = null;
matlab.Execute(@"cd C:\work\temp\images\simple\simple2");
matlab.Feval("rotateImg", 0, out matlabResult, doubleUpDown1.Value);
}
public void MatlabPlotPcaChart(double[][] components)
{
object output = null;
MLApp.MLApp matlab = new MLApp.MLApp();
matlab.Execute(@"cd c:\");
//matlab.Execute(@"cd e:\Workspaces\FERI\semestar II\Neuro nano in kvantno racunalnistvo\neuro myo");
matlab.Feval("PlotPcaChart", 0, out output, components[0], components[1], components[2]);
}
//private void ComputeDencities()
//{
// foreach (RTPObservation obs in Observations)
// {
// if (obs.ObservationNumber != 2)
// {
// foreach (RTPState state in States)
// {
// double[] ReceptionDurationSamples = ModelSamples.Where(s => s.State == state.StateNumber && s.Observation == obs.ObservationNumber).Select(s => s.Frame.ReceptionDuration).ToArray();
// for (int i = 0; i < ReceptionDurationSamples.Length; i++)
// if (ReceptionDurationSamples[i] < 0.0000001) ReceptionDurationSamples[i] = 0.0000001;
// double[] res = GammaFit(ReceptionDurationSamples);
// Dencities[obs.ObservationNumber, state.StateNumber] = new GammaParams(res[0], res[1]);
// //StateDencities.Add(GammaFit(receiveSpeedSamples));
// }
// }
// else
// {
// double[] ReceptionDurationSamples = ModelSamples.Where(s => s.Observation == obs.ObservationNumber).Select(s => s.Frame.ReceptionDuration).ToArray();
// for (int i = 0; i < ReceptionDurationSamples.Length; i++)
// if (ReceptionDurationSamples[i] < 0.0000001)
// ReceptionDurationSamples[i] = 0.0000001;
// double[] res = GammaFit(ReceptionDurationSamples);
// foreach (RTPState state in States)
// {
// Dencities[obs.ObservationNumber, state.StateNumber] = new GammaParams(res[0], res[1]);
// }
// }
// }
//}
// MLApp.MLApp matlab = new MLApp.MLApp();
//// Change to the directory where the function is located
//matlab.Execute(@"cd c:\temp\example");
//// Define the output
//object result = null;
//// Call the MATLAB function myfunc
//matlab.Feval("myfunc", 2, out result, 3.14, 42.0, "world");
private double[] GammaFit(double[] sequence)
{
object gamfit_result = null;
Matlab.Feval("gamfit", 2, out gamfit_result, sequence);
object[] res = gamfit_result as object[];
double[] result = new double[2];
result[0] = ((double[, ])res[0])[0, 0];
result[1] = ((double[, ])res[0])[0, 1];
return(result);
//MWNumericArray m_seq = new MWNumericArray(sequence);
//MWArray res = matlabFunctions.GammaFit(m_seq);
//double[] result = new double[2];
//result[0] = ((double)(res.ToArray().GetValue(0, 0)));
//result[1] = ((double)(res.ToArray().GetValue(0, 1)));
//return result;
}
private void button10_Click_1(object sender, RoutedEventArgs e)
{
MLApp.MLApp matlab = new MLApp.MLApp();
object matlabResult = null;
matlab.Execute(@"cd C:\work\temp\images\simple\simple2");
matlab.Feval("LineCutGUI", 0, out matlabResult);
}
public void signalVisualization(double[] Orignal, double[] Pca, double[] Ica)
{
MLApp.MLApp matlb = new MLApp.MLApp();
matlb.Execute("cd C:\\temp");
object res = null;
matlb.Feval("myfunc2", 1, out res, Orignal, Pca, Ica);
}
public List <RecommendedArtist> GetRecommendationsOnGenre(User fan, List <Artist> artists, int noOfRecommendations)
{
List <Artist> recommendedArtists = new List <Artist>();
List <RecommendedArtist> recommendations = new List <RecommendedArtist>();
if (fan.Genres.Count == 0)
{
return(recommendations);
}
String genresTxt = "";
using (var unitOfWork = new UnitOfWork())
{
var genresRepository = unitOfWork.GetRepository <Genre>();
foreach (Genre g in genresRepository.GetAll())
{
if (fan.Genres.Where(x => x.Id == g.Id).Count() != 0)
{
genresTxt += fan.Id + "," + g.Id + "," + 1 + ";";
}
else
{
genresTxt += fan.Id + "," + g.Id + "," + 0 + ";";
}
}
}
MLApp.MLApp matlab = new MLApp.MLApp();
matlab.Execute(@"cd C:\Users\Luiza");
object result = null;
// Call the MATLAB function myfunc
matlab.Feval("genreSimilarity", 1, out result, genresTxt);
// Display result
object[] res = result as object[];
object arr = res[0];
double[,] pairs = (double[, ])arr;
for (int i = 0; i < pairs.Length / 2; i++)
{
var artist = artists.Where(a => a.User.Role == (int)RolesEnum.ARTIST && a.ArtistId == pairs[i, 0]).FirstOrDefault();
if (artist != null && pairs[i, 1] * 100 > 10 && artist.Ratings.Where(r => r.FanId == fan.Id).Count() == 0)
{
recommendations.Add(new RecommendedArtist
{
Id = artist.ArtistId,
Name = artist.User.Name,
Score = pairs[i, 1] * 100,
PictureUrl = artist.PictureUrl,
Why = "Acest artist iti este recomandat deoarece genurile tale muzicale preferate se potrivesc cu ale sale" +
" in proportie de " + Math.Round(pairs[i, 1] * 100, 2) + "%."
});
}
}
return(recommendations.Take(noOfRecommendations).ToList());
}
public ImageInfoMark ImageReal(string ImagePath)
{
ImageInfoMark info = new ImageInfoMark();
object output;
object[] result;
MatlabObj.Feval("CheckRealImage", 4, out output, ImagePath, BagPath, MeanMhistRGBPath, RealSamplePath);
result = output as object[];
info.Result = Convert.ToInt16(result[0]);
if (info.Result == 1)
{
info.IsImgReal = true;
}
info.Rate = Convert.ToDouble(result[1]);
info.RunningTime = Convert.ToDouble(result[2]);
info.ErrorDesc = Convert.ToString(result[3]);
//Console.WriteLine("CheckRealImage: \n\t Ket Qua That Gia : " + Result + "\n\t Thoi Gian Chay :" + RunningTime + "\n\t Trang Thai Loi : " + ErrorDesc);
return(info);
}
public static object PlotGraphHistory(IGraph graph, string msg = "")
{
var graphHistory = graph.GetEdgesHistory();
Matlab.Execute($"cd '{_pathToPlotFunctionFolder}'");
Matlab.Feval("plot_graph_history", 0, out var figure, graphHistory.Source.ToArray(),
graphHistory.Target.ToArray(), graphHistory.Weigth.ToArray(), graphHistory.Marker.ToArray(),
graph.Directed, msg);
return(figure);
}
private void button12_Click(object sender, RoutedEventArgs e)
{
MLApp.MLApp matlab = new MLApp.MLApp();
object result = null;
double deltaX = (double)doubleUpDown_Matlab.Value;
matlab.Execute(@"cd C:\work\temp\images\simple\simple2");
matlab.Feval("verticleLineCutFeed", 0, out result, "*.jpg", deltaX);
img_Cut_rectangle.Visibility = Visibility.Hidden;
image2.Source = new BitmapImage(new Uri(@"C:\work\temp\images\simple\simple2\cuts.jpg", UriKind.RelativeOrAbsolute));
}
public void initalize_tx_params(double M_i, double fsym_tx_i, double fs_tx_i, double fc_i)
{
this.M = M_i;
this.fsym_tx = fsym_tx_i;
this.fs_tx = fs_tx_i;
this.fc = fc_i;
object init_out;
matlab.Feval("initialize_NIMultiThread_MATLAB_TX", 5, out init_out, M_i, fsym_tx_i, fs_tx_i);
object[] tx_init_obj = init_out as object[];
this.Ts_tx = (double)tx_init_obj[0];
this.sps_tx = (double)tx_init_obj[1];
block_copy((double[, ])tx_init_obj[2], out this.qammod_lookup_real);
// this.qammod_lookup_real = (double[,])tx_init_obj[2];
block_copy((double[, ])tx_init_obj[3], out this.qammod_lookup_imag);
// this.qammod_lookup_imag = (double[,])tx_init_obj[3];
block_copy((double[, ])tx_init_obj[4], out this.rc_filt_tx);
set_aside_real = new double[1, this.rc_filt_tx.Length - 1];
set_aside_imag = new double[1, this.rc_filt_tx.Length - 1];
// this.rc_filt_tx = (double[,])tx_init_obj[4];
// this.max_waveform_size = max_waveform_size;
}
private void proc()
{
MLApp.MLApp Call_Matlab = new MLApp.MLApp();
Call_Matlab.Visible = 0;
object result = null;
Call_Matlab.Execute(@"cd C:\MatlabProcessing");
try
{
Call_Matlab.Feval("MAIN_PROCESSING", 1, out result, PthTs, PthTr, PthAl);
Res = result as object[];
MessageBox.Show(Res[0].ToString());
Call_Matlab.Quit();
Marshal.ReleaseComObject(Call_Matlab);
}
catch (Exception e)
{
Marshal.ReleaseComObject(Call_Matlab);
MessageBox.Show(e.ToString());
}
}
public Tuple<double[], double> Execute(double l1, double l2, double l3)
{
MLApp.MLApp matlab = new MLApp.MLApp();
var appFolder = Path.GetDirectoryName(
Assembly.GetExecutingAssembly().Location
);
var workFolder = Path.Combine(appFolder, "Matlab");
matlab.Execute(@"cd " + workFolder);
object result = null;
matlab.Feval("Calculation", 2, out result, l1, l2, l3);
// Display result
object[] res = (object[])result;
var x = (double[,])res[0];
var fval = (double)res[1];
return Tuple.Create(new double[] { x[0, 0], x[0, 1], x[0, 2] }, fval);
}
static void Main(string[] args)
{
/////////////////////////////////////// Looking for a file ///////////////////////////////////////
int m = 0, n;
//Learning the value of m(Number of training examples) and n(number of atributes)
using (TextReader reader = File.OpenText("C:/Users/laerte/Desktop/ex1data1.txt"))
{
string linha = reader.ReadLine();
string[] temp = linha.Split(',');
n = temp.Length - 1;
while (linha != null)
{
m++;
linha = reader.ReadLine();
}
reader.Close();
}
double[,] X = new double[m, n + 1];
double[,] y = new double[m, 1];
double[,] theta = new double[n + 1, 1];
//filling out the matrix X, the vector y, and the vector theta
using (TextReader reader = File.OpenText("C:/Users/laerte/Desktop/ex1data1.txt"))
{
int i = 0;
string linha = reader.ReadLine();
while (linha != null)
{
string[] temp = linha.Split(',');
X[i, 0] = 1;
for (int j = 1; j < n + 1; j++)
{
//Console.Write(temp[j - 1]);
X[i, j] = Convert.ToDouble(temp[j - 1]);
}
y[i, 0] = Convert.ToDouble(temp[n]);
linha = reader.ReadLine();
i++;
}
reader.Close();
}
for (int i = 0; i < n + 1; i++)
{
theta[i, 0] = 0;
}
/*
////////////////////////////////////////////// PRINT ////////////////////////////////////////////////
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n + 1; j++)
{
Console.Write("X[{0}][{1}] = {2} ", i, j, X[i, j]);
}
Console.Write("\n");
}
for (int i = 0; i < m; i++)
{
Console.Write("y[{0}] = {1}\n", i, y[i,0]);
}
for (int i = 0; i < n + 1; i++)
{
Console.Write("theta[{0}] = {1}\n", i, theta[i,0]);
}
*/
////////////////////////////////////////////Matlab calculations/////////////////////////////////////////////
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
// Change to the directory where the function is located
matlab.Execute(@"cd C:\Users\laerte\Desktop");
// Define the output
object result = null;
// Call the MATLAB function myfunc
matlab.Execute("clear all");
matlab.Feval("computeCost", 1, out result, X, y, theta);
// Display result
object[] res = result as object[];
Console.WriteLine("Computing the cost J = " + res[0]);
// Closing the matblab window
//matlab.Quit();
// Wait until fisnih
Console.ReadLine();
}
static void Main(string[] args)
{
/////////////////////////////////////// Looking for a file ///////////////////////////////////////
// Variables used in matlab
//double lambda = 1.5;
//Reading the file to get the size of lines and columns of R and Y, which will be used in training colloborative filtering
int num_jobs_init;
int num_users_init;
int num_features;
using (TextReader readerR = File.OpenText("C:/Users/larissaf/Desktop/files/Y.txt"))
{
num_jobs_init = 0;
string line = readerR.ReadLine();
string[] temp = line.Split('\t');
num_users_init = temp.Length;
while (line != null)
{
line = readerR.ReadLine();
num_jobs_init++;
}
readerR.Close();
}
//it needs to be between 1 and num_users_init (PUT A VERIFICATION HERE)
/*
Console.Write("Write down the user number that will receive job recommendation from 1 to {0}\n", num_users_init);
string read = Console.ReadLine();
*
*/
int user_number = 1;
StreamWriter writetext = new StreamWriter("results.txt");
string space = "\t";
string new_line = "\n";
while (user_number <= 100)
{
//Now we read R and Y from theirs files (-1 because I will remove the chosen user from the matrixes)
double[,] Y = new double[num_jobs_init, num_users_init - 1];
double[,] R = new double[num_jobs_init, num_users_init - 1];
// Movie rating file for a user
double[,] my_ratings = new double[num_jobs_init, 1];
//reading Y_training
using (TextReader readerY = File.OpenText("C:/Users/larissaf/Desktop/files/Y.txt"))
{
int i = 0;
string line = readerY.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
int k = 0;
for (int j = 0; j < num_users_init; j++)
{
if (j != (user_number - 1))
{
Y[i, k] = Convert.ToDouble(temp[j]);
k++;
}
else
my_ratings[i, 0] = Convert.ToDouble(temp[j]);
}
line = readerY.ReadLine();
i++;
}
readerY.Close();
}
//reading R_training
using (TextReader readerR = File.OpenText("C:/Users/larissaf/Desktop/files/R.txt"))
{
int i = 0;
string line = readerR.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
int k = 0;
for (int j = 0; j < num_users_init; j++)
{
if (j != (user_number - 1))
{
R[i, k] = Convert.ToDouble(temp[j]);
k++;
}
}
line = readerR.ReadLine();
i++;
}
readerR.Close();
}
//reading X to get the number of features
using (TextReader readerX = File.OpenText("C:/Users/larissaf/Desktop/files/X.txt"))
{
num_features = 0;
string line = readerX.ReadLine();
if (line != null)
{
string[] temp = line.Split('\t');
num_features = temp.Length;
}
readerX.Close();
}
//allocating the X matriz
double[,] X = new double[num_jobs_init, num_features];
//reading X_training
using (TextReader readerX = File.OpenText("C:/Users/larissaf/Desktop/files/X.txt"))
{
int i = 0;
string line = readerX.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
for (int j = 0; j < num_features; j++)
{
X[i, j] = Convert.ToDouble(temp[j]);
}
line = readerX.ReadLine();
i++;
}
readerX.Close();
}
// make sure that the data will be zero for all the positions
using (TextReader reader_movies_ratings = File.OpenText("C:/Users/larissaf/Desktop/files/one_user_rating.txt"))
{
int i = 0;
string line = reader_movies_ratings.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
my_ratings[Convert.ToInt32(temp[0]) - 1, 0] = Convert.ToInt32(temp[1]);
line = reader_movies_ratings.ReadLine();
i++;
}
reader_movies_ratings.Close();
}
// Job names
string[] job_list = new string[num_jobs_init];
using (TextReader reader_movie_list = File.OpenText("C:/Users/larissaf/Desktop/files/job_names.txt"))
{
string line = reader_movie_list.ReadLine();
int i = 0;
while (line != null)
{
job_list[i] = line;
line = reader_movie_list.ReadLine();
i++;
}
reader_movie_list.Close();
}
////////////////////////////////////////////Matlab calculations///////////////////////////////////////////
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
// Change to the directory where the functions are located --- always use the desktop to make tests to avoid problems with pathway
matlab.Execute(@"cd C:\Users\larissaf\Desktop\files");
// Define the output to print the final result
object result_movies_search = null;
matlab.Execute("my_ratings");
// Movie erecommendations script
matlab.Feval("scriptGeneration", 6, out result_movies_search, my_ratings, job_list, Y, R, X, num_features);
object[] res = result_movies_search as object[];
//Console.Write("{0} {1}", res[5], job_list[(int)(((double[,])res[0])[0, 0]) - 1]);
// ----------------------------------------------------------------------
// writetext.Write(res[5]);
int len = ((double[,])res[0]).Length;
for (int i = 0; i < len; i++)
{
writetext.Write(job_list[(int)(((double[,])res[0])[i, 0]) - 1]);
writetext.Write(space);
writetext.Write((((double[,])res[1])[i, 0]));
writetext.Write(space);
writetext.Write(job_list[(int)(((double[,])res[2])[i, 0]) - 1]);
writetext.Write(space);
writetext.Write((((double[,])res[3])[i, 0]));
writetext.Write(space);
writetext.Write((((double[,])res[4])[i, 0]));
writetext.Write(space);
writetext.Write(user_number);
writetext.Write(new_line);
}
user_number++;
} // while ends
writetext.Close();
Console.Write(" DONE");
// Wait until fisnih
Console.ReadLine();
}
static void Main(string[] args)
{
//////////////////////////////////////////////////////////////////// Loading files /////////////////////////////////////////////////////////////////////
// Variables used in matlab
//double lambda = 1.5;
double num_users = 4;
double num_movies = 5;
double num_features = 3;
// Generate data according with the logic express in Matlab
double[,] X = new double[(int)num_movies, (int)num_features];
double[,] Y = new double[(int)num_movies, (int)num_users];
double[,] Theta = new double[(int)num_users, (int)num_features];
double[,] R = new double[(int)num_movies, (int)num_users];
//filling out the matrix X
using (TextReader readerX = File.OpenText("C:/Users/laerte/Documents/GitHub/ummatlab/Recommender systems/Data/data_x.txt"))
{
int i = 0;
string line = readerX.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
for (int j = 0; j < (int)num_features; j++)
{
//Console.Write(temp[j - 1]);
X[i, j] = Convert.ToDouble(temp[j]);
}
line = readerX.ReadLine();
i++;
}
readerX.Close();
}
//filling out the matrix Y
using (TextReader readerY = File.OpenText("C:/Users/laerte/Documents/GitHub/ummatlab/Recommender systems/Data/data_y.txt"))
{
int i = 0;
string line = readerY.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
for (int j = 0; j < (int)num_users; j++)
{
//Console.Write(temp[j - 1]);
Y[i, j] = Convert.ToDouble(temp[j]);
}
line = readerY.ReadLine();
i++;
}
readerY.Close();
}
// Filling out the matrix theta
using (TextReader readerTheta = File.OpenText("C:/Users/laerte/Documents/GitHub/ummatlab/Recommender systems/Data/data_theta.txt"))
{
int i = 0;
string line = readerTheta.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
for (int j = 0; j < (int)num_features; j++)
{
//Console.Write(temp[j - 1]);
Theta[i, j] = Convert.ToDouble(temp[j]);
}
line = readerTheta.ReadLine();
i++;
}
readerTheta.Close();
}
// Filling out the matrix theta
using (TextReader readerR = File.OpenText("C:/Users/laerte/Documents/GitHub/ummatlab/Recommender systems/Data/data_r.txt"))
{
int i = 0;
string line = readerR.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
for (int j = 0; j < (int)num_users; j++)
{
//Console.Write(temp[j - 1]);
R[i, j] = Convert.ToDouble(temp[j]);
}
line = readerR.ReadLine();
i++;
}
readerR.Close();
}
//Reading the file to get the size of lines and columns of R and Y, which will be used in training colloborative filtering
int num_movies_init;
int num_users_init;
using (TextReader readerSize = File.OpenText("C:/Users/laerte/Desktop/Y_training.txt"))
{
num_movies_init = 0;
string line = readerSize.ReadLine();
string[] temp = line.Split('\t');
num_users_init = temp.Length;
while (line != null)
{
line = readerSize.ReadLine();
num_movies_init++;
}
readerSize.Close();
}
//Now we read R and Y from theirs files
double[,] Y_training = new double[num_movies_init, num_users_init];
double[,] R_training = new double[num_movies_init, num_users_init];
//reading Y_training
using (TextReader readerY = File.OpenText("C:/Users/laerte/Desktop/Y_training.txt"))
{
int i = 0;
string line = readerY.ReadLine();
string[] temp = line.Split('\t');
while (line != null)
{
for (int j = 0; j < num_users_init; j++)
{
Y_training[i, j] = Convert.ToDouble(temp[j]);
}
line = readerY.ReadLine();
i++;
}
readerY.Close();
}
//reading R_training
using (TextReader readerR = File.OpenText("C:/Users/laerte/Desktop/R_training.txt"))
{
int i = 0;
string line = readerR.ReadLine();
string[] temp = line.Split('\t');
while (line != null)
{
for (int j = 0; j < num_users_init; j++)
{
R_training[i, j] = Convert.ToDouble(temp[j]);
}
line = readerR.ReadLine();
i++;
}
readerR.Close();
}
// Movie rating file for a user X
double[,] my_ratings = new double[num_movies_init, 1];
// make sure that the data will be zero for all the other positions
Array.Clear(my_ratings, 0, num_movies_init);
using (TextReader reader_movies_ratings = File.OpenText("C:/Users/laerte/Documents/GitHub/ummatlab/Recommender systems/Data/movies_ratings.txt"))
{
int i = 0;
string line = reader_movies_ratings.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
my_ratings[Convert.ToInt32(temp[0]) - 1, 0] = Convert.ToInt32(temp[1]);
line = reader_movies_ratings.ReadLine();
i++;
}
reader_movies_ratings.Close();
}
// Movie list file for a user X
string[] movie_list = new string[num_movies_init];
using (TextReader reader_movie_list = File.OpenText("C:/Users/laerte/Documents/GitHub/ummatlab/Recommender systems/Data/movie_ids.txt"))
{
string line = reader_movie_list.ReadLine();
int i = 0;
while (line != null)
{
line = line.Replace((i + 1).ToString() + " ", "");
movie_list[i] = line;
line = reader_movie_list.ReadLine();
i++;
}
reader_movie_list.Close();
}
/////////////////////////////////////////////////////////////////////// Matlab calculations /////////////////////////////////////////////////////////////////////
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
// Change to the directory where the functions are located --- always use the desktop to make tests to avoid problems with pathway
matlab.Execute(@"cd C:\Users\laerte\Desktop");
// Calling a function to calculate the parameters to send it to cofiCostFunc
object parameters = null;
matlab.Feval("generateParams", 1, out parameters, X, Theta);
object[] par = parameters as object[];
// Define the output to print the final result for CofiCostFunc
//object result = null;
// Call the MATLAB function myfunc
matlab.Execute("clear all");
// Execute the function in Matlab function to check J
// matlab.Feval("cofiCostFunc", 2, out result, (par[0]), Y, R, num_users, num_movies, num_features, lambda);
// Checking the gradients
//object check = null;
//matlab.Feval("checkCostFunction", 0, out check, lambda);
// Display result [cost, grad] = costFunctionReg(initial_theta, X, y, lambda);
//object[] res = result as object[];
// Print J and grad from CofiCostFunc, which are the returned by this function --- I will commment this part
Console.WriteLine("Go to Matlab to do the interactions...");
/*
Console.WriteLine("Computing the cost J = " + res[0]);
int len = ((double[,])(res[1])).Length;
for (int n=0; n < len; n++)
{
Console.WriteLine("grad = " +((double[,])res[1])[n,0]);
}
*/
// Define the output to print the final result
object result_movies_search = null;
// Movie recommendations script
matlab.Feval("scriptGeneration", 1, out result_movies_search, my_ratings, movie_list, Y_training, R_training);
// Wait until fisnih
Console.Write("Presse ENTER to close the window");
Console.ReadLine();
// Closing the matblab window
//matlab.Quit();
}
static void Main(string[] args)
{
int num_jobs_init;
int num_users_init;
int num_features;
int user_number = 1;
//Reading the file to get the size of lines and columns of R and Y,
//which will be used in training colloborative filtering.
using (TextReader readerR = File.OpenText("C:/Users/larissaf/Desktop/files/Y.txt"))
{
num_jobs_init = 0;
string line = readerR.ReadLine();
string[] temp = line.Split('\t');
num_users_init = temp.Length;
while (line != null)
{
line = readerR.ReadLine();
num_jobs_init++;
}
readerR.Close();
}
//File that is going to be written with the Top ten jobs and ratings and similarity for all users
StreamWriter writetext = new StreamWriter("results.txt");
//Dictionary that contains a list of top ten jobs compared with other jobs for each user
Dictionary<int, List<MyData>> finalList = new Dictionary<int, List<MyData>>();
//consider that we have 100 users (we can ask how may and change the while-condition)
while (user_number <= 100)
{
//Now we read R and Y from theirs files (-1 because I will remove the chosen user from the matrixes)
double[,] Y = new double[num_jobs_init, num_users_init - 1];
double[,] R = new double[num_jobs_init, num_users_init - 1];
// Movie rating file for a user
double[,] my_ratings = new double[num_jobs_init, 1];
//reading Y_training
using (TextReader readerY = File.OpenText("C:/Users/larissaf/Desktop/files/Y.txt"))
{
int i = 0;
string line = readerY.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
int k = 0;
for (int j = 0; j < num_users_init; j++)
{
if (j != (user_number - 1))
{
Y[i, k] = Convert.ToDouble(temp[j]);
k++;
}
else
my_ratings[i, 0] = Convert.ToDouble(temp[j]);
}
line = readerY.ReadLine();
i++;
}
readerY.Close();
}
//reading R_training
using (TextReader readerR = File.OpenText("C:/Users/larissaf/Desktop/files/R.txt"))
{
int i = 0;
string line = readerR.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
int k = 0;
for (int j = 0; j < num_users_init; j++)
{
if (j != (user_number - 1))
{
R[i, k] = Convert.ToDouble(temp[j]);
k++;
}
}
line = readerR.ReadLine();
i++;
}
readerR.Close();
}
//reading X to get the number of features
using (TextReader readerX = File.OpenText("C:/Users/larissaf/Desktop/files/X.txt"))
{
num_features = 0;
string line = readerX.ReadLine();
if (line != null)
{
string[] temp = line.Split('\t');
num_features = temp.Length;
}
readerX.Close();
}
//allocating the X matriz
double[,] X = new double[num_jobs_init, num_features];
//reading X_training
using (TextReader readerX = File.OpenText("C:/Users/larissaf/Desktop/files/X.txt"))
{
int i = 0;
string line = readerX.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
for (int j = 0; j < num_features; j++)
{
X[i, j] = Convert.ToDouble(temp[j]);
}
line = readerX.ReadLine();
i++;
}
readerX.Close();
}
/*
using (TextReader reader_movies_ratings = File.OpenText("C:/Users/larissaf/Desktop/files/one_user_rating.txt"))
{
int i = 0;
string line = reader_movies_ratings.ReadLine();
while (line != null)
{
string[] temp = line.Split('\t');
my_ratings[Convert.ToInt32(temp[0]) - 1, 0] = Convert.ToInt32(temp[1]);
line = reader_movies_ratings.ReadLine();
i++;
}
reader_movies_ratings.Close();
}*/
// Job names
string[] job_list = new string[num_jobs_init];
using (TextReader reader_movie_list = File.OpenText("C:/Users/larissaf/Desktop/files/job_names.txt"))
{
string line = reader_movie_list.ReadLine();
int i = 0;
while (line != null)
{
job_list[i] = line;
line = reader_movie_list.ReadLine();
i++;
}
reader_movie_list.Close();
}
////////////////////////////////////////////Matlab calculations///////////////////////////////////////////
// Create the MATLAB instance
MLApp.MLApp matlab = new MLApp.MLApp();
//this is used to do not show the matlab window
//matlab.Visible = 0;
// Change to the directory where the functions are located --- always use the desktop to make tests to avoid problems with pathway
matlab.Execute(@"cd C:\Users\larissaf\Desktop\files");
// Define the output to print the final result
object result_movies_search = null;
matlab.Execute("my_ratings");
// Movie erecommendations script
matlab.Feval("scriptGeneration", 6, out result_movies_search, my_ratings, job_list, Y, R, X, num_features);
object[] res = result_movies_search as object[];
int len = ((double[,])res[0]).Length;
//for each one of the users, we will have a list containg all the comparassions between the top ten jobs for him, and
//the other jobs (that had similarity >= 70%)
List<MyData> mylist = new List<MyData>();
MyData aux;
for (int i = 0; i < len; i++)
{
//adding a new element in the list for each user.
aux = new MyData(job_list[(int)(((double[,])res[0])[i, 0]) - 1], (((double[,])res[1])[i, 0]), job_list[(int)(((double[,])res[2])[i, 0]) - 1], (((double[,])res[3])[i, 0]), (((double[,])res[4])[i, 0]));
mylist.Add(aux);
writetext.Write(job_list[(int)(((double[,])res[0])[i, 0]) - 1] + "\t");
writetext.Write((((double[,])res[1])[i, 0]) + "\t");
writetext.Write(job_list[(int)(((double[,])res[2])[i, 0]) - 1] + "\t");
writetext.Write((((double[,])res[3])[i, 0]) + "\t");
writetext.Write((((double[,])res[4])[i, 0]) + "\t");
writetext.Write(user_number + "\n");
}
//adding the list at the Dictionary for each user
finalList.Add(user_number, mylist);
user_number++;
} // while ends
writetext.Close();
//creating a instance of an object for user 1: (maybe send null)
dataResult avgs = new dataResult(null, 10);
avgs.WriteInAFile(finalList);
Console.WriteLine("DONE");
// Wait until fisnih
Console.ReadLine();
}
