void AllPlot()
{
if (section <= 48)
{
MessageBox.Show("时间序列过短，无法进行SARIMA预测");
}
if (band[0] == 0)
{
MessageBox.Show("您选择的地点是陆地或没有数据，请重新查询");
}
else
{
MWNumericArray band_m = new MWNumericArray(MWArrayComplexity.Real, 1, section);
MWCellArray time_m = new MWCellArray(section);
MWArray result;
for (int i = 0; i < section; i++)
{
band_m[i + 1] = band[i];
time_m[i + 1] = time[i];
}
if (section <= 36)
{
result = plot_all.series_all(band_m, time_m, 1, section);
}
else
{
result = plot_all.series_all(band_m, time_m, 0, section);
}
List <string> temp = new List <string>();
foreach (var item in result.ToArray())
{
temp.Add(item.ToString());
}
Std = Convert.ToDouble(temp[0]);
pq.Add(Convert.ToDouble(2));
pq.Add(Convert.ToDouble(2));
it = new ListViewItem();
it.Text = "Std";
it.SubItems.Add(Std.ToString());
listView2.Items.Add(it);
it = new ListViewItem();
it.Text = "p";
it.SubItems.Add(pq[0].ToString());
listView2.Items.Add(it);
it = new ListViewItem();
it.Text = "q";
it.SubItems.Add(pq[1].ToString());
listView2.Items.Add(it);
button2.Enabled = true;
}
}
/// <summary>
/// Calculates the edge features vector of the current image
/// </summary>
public List <Feature> EdgeFeaturesVector(int X, int Y, int W, int H)
{
List <Feature> FV = new List <Feature>();
try
{
MWArray res = new MWCellArray(37, 1);
res = FEC.CannyEdgeHistogram(this.imagePath, X, Y, W, H);
FV.Add(new Feature("Edge1", double.Parse(res[1].ToString())));
FV.Add(new Feature("Edge2", double.Parse(res[2].ToString())));
FV.Add(new Feature("Edge3", double.Parse(res[3].ToString())));
FV.Add(new Feature("Edge4", double.Parse(res[4].ToString())));
FV.Add(new Feature("Edge5", double.Parse(res[5].ToString())));
FV.Add(new Feature("Edge6", double.Parse(res[6].ToString())));
FV.Add(new Feature("Edge7", double.Parse(res[7].ToString())));
FV.Add(new Feature("Edge8", double.Parse(res[8].ToString())));
FV.Add(new Feature("Edge9", double.Parse(res[9].ToString())));
FV.Add(new Feature("Edge10", double.Parse(res[10].ToString())));
FV.Add(new Feature("Edge11", double.Parse(res[11].ToString())));
FV.Add(new Feature("Edge12", double.Parse(res[12].ToString())));
FV.Add(new Feature("Edge13", double.Parse(res[13].ToString())));
FV.Add(new Feature("Edge14", double.Parse(res[14].ToString())));
FV.Add(new Feature("Edge15", double.Parse(res[15].ToString())));
FV.Add(new Feature("Edge16", double.Parse(res[16].ToString())));
FV.Add(new Feature("Edge17", double.Parse(res[17].ToString())));
FV.Add(new Feature("Edge18", double.Parse(res[18].ToString())));
FV.Add(new Feature("Edge19", double.Parse(res[19].ToString())));
FV.Add(new Feature("Edge20", double.Parse(res[20].ToString())));
FV.Add(new Feature("Edge21", double.Parse(res[21].ToString())));
FV.Add(new Feature("Edge22", double.Parse(res[22].ToString())));
FV.Add(new Feature("Edge23", double.Parse(res[23].ToString())));
FV.Add(new Feature("Edge24", double.Parse(res[24].ToString())));
FV.Add(new Feature("Edge25", double.Parse(res[25].ToString())));
FV.Add(new Feature("Edge26", double.Parse(res[26].ToString())));
FV.Add(new Feature("Edge27", double.Parse(res[27].ToString())));
FV.Add(new Feature("Edge28", double.Parse(res[28].ToString())));
FV.Add(new Feature("Edge29", double.Parse(res[29].ToString())));
FV.Add(new Feature("Edge30", double.Parse(res[30].ToString())));
FV.Add(new Feature("Edge31", double.Parse(res[31].ToString())));
FV.Add(new Feature("Edge32", double.Parse(res[32].ToString())));
FV.Add(new Feature("Edge33", double.Parse(res[33].ToString())));
FV.Add(new Feature("Edge34", double.Parse(res[34].ToString())));
FV.Add(new Feature("Edge35", double.Parse(res[35].ToString())));
FV.Add(new Feature("Edge36", double.Parse(res[36].ToString())));
FV.Add(new Feature("Edge37", double.Parse(res[37].ToString())));
return(FV);
}
catch (Exception ex)
{
return(null);
}
}
public MWCellArray NetListToMLCellArray(List<Double[,]> input )
{
MWCellArray cellArray = new MWCellArray(input.Count);
// MWNumericArray numericArray = new MWNumericArray();
for (int i = 1; i < input.Count+1; i++)
{
cellArray[i] = ((MWNumericArray)input[i-1]);
}
return cellArray;
}
public float MatlabQPeek(List <float> zposList, List <byte[, ]> bytelist, int max_cnt, ref float z_pos1, ref float z_pos2, ref float z_pos3, ref float new_z_pos_m, bool bDirty, ref int bFineFlag)
{
DateTime starT = DateTime.Now;
int loop_cnt = 0;
float rect_cnt = 0;
float rect = 0;
try
{
MWCellArray mwcell = new MWCellArray(max_cnt, 1);
for (int i = 0; i < max_cnt; i++)
{
MWNumericArray mwarr = bytelist[i];
mwcell[i + 1, 1] = mwarr;
}
MWNumericArray mwz = zposList.ToArray();
loop_cnt = bDirty == false ? 0 : 1;
MWNumericArray mwCnt = loop_cnt;
//MWArray mwret = this.qFocus.QuickFocusOfSinglePointROIForDll(mwz, mwcell);
MWArray mwret = this.qfprep.QuickFocusOfSinglePointROIForDll(mwz, mwcell, mwCnt);
float[,] ret = (float[, ])((MWNumericArray)mwret).ToArray(MWArrayComponent.Real);
z_pos1 = ret[0, 0];
z_pos2 = ret[0, 1];
z_pos3 = ret[0, 2];
new_z_pos_m = ret[0, 3];
bFineFlag = (int)ret[0, 4];
z_pos1 = z_pos1 > 0.4 ? 0 : z_pos1;
z_pos2 = z_pos2 > 0.4 ? 0 : z_pos2;
z_pos3 = z_pos3 > 0.4 ? 0 : z_pos3;
if (rect_cnt == 1)
{
loop_cnt++;
}
else
{
loop_cnt = 0;
}
rect = new_z_pos_m;
}
catch (Exception ex)
{ LogHelper.AppLoger.Error(ex); }
finally
{
}
return(rect);
}
public void MatlabFitting(Dictionary <Point, float> dicMap)
{
try
{
int max = dicMap.Count;
double[,] dbx = new double[max, 3];
MWCellArray mwary = new MWCellArray(max, 3);
List <Point> lst = new List <Point>(dicMap.Keys);
StringBuilder strDat = new StringBuilder();
for (int i = 0; i < lst.Count; i++)
{
Point p = lst[i];
float v = dicMap[p];
//float[] fv = new float[3] { (float)p.X, (float)p.Y, v };
dbx[i, 0] = (double)p.X;
dbx[i, 1] = (double)p.Y;
dbx[i, 2] = (double)v;
strDat.AppendFormat("{0},{1},{2}", p.X, p.Y, v);
strDat.AppendFormat(System.Environment.NewLine);
}
//save result to file
string path = @"c:\map\";
if (!System.IO.Directory.Exists(path))
{
System.IO.Directory.CreateDirectory(path);
}
var utf8WithoutBom = new System.Text.UTF8Encoding(true);
FileStream fs = new FileStream(path + "final_data.csv", FileMode.Create);
StreamWriter sw = new StreamWriter(fs, utf8WithoutBom);
sw.Write(strDat.ToString());
//清空缓冲区
sw.Flush();
//关闭流
sw.Close();
fs.Close();
MWNumericArray x = new MWNumericArray(dbx);
MWArray mwret = this.gfPrep.PreMapFunction(x);
//float[,] ret = (float[,])((MWNumericArray)mwret).ToArray(MWArrayComponent.Real);
}
catch (Exception ex)
{
LogHelper.AppLoger.Error(ex);
}
}
private float MatlabPeek(List <float> zposList, List <byte[, ]> bytelist, int max_cnt)
{
MWCellArray mwcell = new MWCellArray(max_cnt, 1);
for (int i = 0; i < max_cnt; i++)
{
MWNumericArray mwarr = bytelist[i];
mwcell[i + 1, 1] = mwarr;
}
MWNumericArray mwz = zposList.ToArray();
MWArray mwret = this.myDll2.GlobalFocusOfSinglePointROIForDll(mwz, mwcell);
float[,] ret = (float[, ])((MWNumericArray)mwret).ToArray(MWArrayComponent.Real);
float new_z_pos_m = ret[0, 0];
return(new_z_pos_m);
}
/// <summary>
/// Calculates the texture features vector of the current image
/// </summary>
public List <Feature> TextureFeaturesVector(int X, int Y, int W, int H)
{
List <Feature> FV = new List <Feature>();
try
{
MWArray res = new MWCellArray(24, 1);
res = FEC.ExtractTextureInfo(this.imagePath, X, Y, W, H);
FV.Add(new Feature("TexContrast0", double.Parse(res[1].ToString())));
FV.Add(new Feature("TexCorrelation0", double.Parse(res[2].ToString())));
FV.Add(new Feature("TexEnergy0", double.Parse(res[3].ToString())));
FV.Add(new Feature("TexHomogeneity0", double.Parse(res[4].ToString())));
FV.Add(new Feature("TexEntropy0", double.Parse(res[5].ToString())));
FV.Add(new Feature("TexMax0", double.Parse(res[6].ToString())));
FV.Add(new Feature("TexContrast45", double.Parse(res[7].ToString())));
FV.Add(new Feature("TexCorrelation45", double.Parse(res[8].ToString())));
FV.Add(new Feature("TexEnergy45", double.Parse(res[9].ToString())));
FV.Add(new Feature("TexHomogeneity45", double.Parse(res[10].ToString())));
FV.Add(new Feature("TexEntropy45", double.Parse(res[11].ToString())));
FV.Add(new Feature("TexMax45", double.Parse(res[12].ToString())));
FV.Add(new Feature("TexContrast90", double.Parse(res[13].ToString())));
FV.Add(new Feature("TexCorrelation90", double.Parse(res[14].ToString())));
FV.Add(new Feature("TexEnergy90", double.Parse(res[15].ToString())));
FV.Add(new Feature("TexHomogeneity90", double.Parse(res[16].ToString())));
FV.Add(new Feature("TexEntropy90", double.Parse(res[17].ToString())));
FV.Add(new Feature("TexMax90", double.Parse(res[18].ToString())));
FV.Add(new Feature("TexContrast135", double.Parse(res[19].ToString())));
FV.Add(new Feature("TexCorrelation135", double.Parse(res[20].ToString())));
FV.Add(new Feature("TexEnergy135", double.Parse(res[21].ToString())));
FV.Add(new Feature("TexHomogeneity135", double.Parse(res[22].ToString())));
FV.Add(new Feature("TexEntropy135", double.Parse(res[23].ToString())));
FV.Add(new Feature("TexMax135", double.Parse(res[24].ToString())));
return(FV);
}
catch (Exception ex)
{
return(null);
}
}
static void Main(string[] args)
{
// get data table
DataTable table = getData();
// create the MWCellArray
int numRows = table.Rows.Count;
int numCols = table.Columns.Count;
MWCellArray cell = new MWCellArray(numRows, numCols); // one-based indices
// fill it cell-by-cell
for (int r = 0; r < numRows; r++)
{
for (int c = 0; c < numCols; c++)
{
// fill based on type
Type t = table.Columns[c].DataType;
if (t == typeof(DateTime))
{
//cell[r+1,c+1] = new MWNumericArray( convertToMATLABDateNum((DateTime)table.Rows[r][c]) );
cell[r + 1, c + 1] = convertToMATLABDateNum((DateTime)table.Rows[r][c]);
}
else if (t == typeof(string))
{
//cell[r+1,c+1] = new MWCharArray( (string)table.Rows[r][c] );
cell[r + 1, c + 1] = (string)table.Rows[r][c];
}
else
{
//cell[r+1,c+1] = new MWNumericArray( (double)table.Rows[r][c] );
cell[r + 1, c + 1] = (double)table.Rows[r][c];
}
}
}
// call MATLAB function
CellClass obj = new CellClass();
obj.my_cell_function(cell);
// Wait for user to exit application
Console.ReadKey();
}
public float MatlabPeek(List <float> zPosList, List <byte[, ]> byteList, int maxCnt)
{
float rect = 0;
try
{
MWCellArray mwcell = new MWCellArray(maxCnt, 1);
for (int i = 0; i < maxCnt; i++)
{
MWNumericArray mwarr = byteList[i];
mwcell[i + 1, 1] = mwarr;
}
MWNumericArray mwz = zPosList.ToArray();
MWArray mwret = this.gfPrep.GlobalFocusOfSinglePointROIForDll(mwz, mwcell);
float[,] ret = (float[, ])((MWNumericArray)mwret).ToArray(MWArrayComponent.Real);
float new_z_pos_m = ret[0, 0];
rect = new_z_pos_m;
}
catch (Exception ex)
{ LogHelper.AppLoger.Error(ex); }
return(rect);
}
/// <summary>
/// Calculates the shape features vector of the current image
/// </summary>
public List <Feature> ShapeFeaturesVector(int X, int Y, int W, int H)
{
List <Feature> FV = new List <Feature>();
try
{
MWArray res = new MWCellArray(7, 1);
res = FEC.ExtractShapeInfo(this.imagePath, X, Y, W, H);
FV.Add(new Feature("ShapeM1", double.Parse(res[1].ToString())));
FV.Add(new Feature("ShapeM2", double.Parse(res[2].ToString())));
FV.Add(new Feature("ShapeM3", double.Parse(res[3].ToString())));
FV.Add(new Feature("ShapeM4", double.Parse(res[4].ToString())));
FV.Add(new Feature("ShapeM5", double.Parse(res[5].ToString())));
FV.Add(new Feature("ShapeM6", double.Parse(res[6].ToString())));
FV.Add(new Feature("ShapeM7", double.Parse(res[7].ToString())));
return(FV);
}
catch (Exception ex)
{
return(null);
}
}
public List <Vector3d> ICPCalculation(List <Vector3d> pointsToTransform, List <Vector3d> pointsOrig)
{
int j = 0;
int m = 0;
double[,] map_points = new double[3, pointsToTransform.Count];
for (int i = 0; i < map_points.Length / 3; i++, j++)
{
map_points.SetValue(pointsToTransform[i].X, 0, j);
map_points.SetValue(pointsToTransform[i].Y, 1, j);
map_points.SetValue(pointsToTransform[i].Z, 2, j);
}
double[,] map_pointsToTransform = ThinPointCloud(pointsToTransform, 0, 50);
m += 10;
double[,] map_pointsOrig = new double[3, pointsOrig.Count()];
for (int i = 0; i < pointsOrig.Count; i++)
{
map_pointsOrig.SetValue(pointsOrig[i].X, 0, i);
map_pointsOrig.SetValue(pointsOrig[i].Y, 1, i);
map_pointsOrig.SetValue(pointsOrig[i].Z, 2, i);
}
//IterativeClosestPointClass icp = new IterativeClosestPointClass();
ICP icpTest = new ICP();
// ICP icpTest = new ICP();
MWCellArray outMapedPointsNew = null;
MWCellArray outMapedPointsOld = null;
Console.WriteLine("Start of ICP algorithm");
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
outMapedPointsNew = (MWCellArray)icpTest.getIterativeClosestPoints((MWNumericArray)map_pointsOrig, (MWNumericArray)map_pointsToTransform, (MWNumericArray)map_points, (MWNumericArray)20);
for (int i = 0; i < 5; i++)
{
m += 5;
MWNumericArray newoutmappedPoints = (MWNumericArray)outMapedPointsNew[1];
List <Vector3d> newPoints = new List <Vector3d>();
double newx, newy, newz;
Vector3d newact_point;
for (int k = 1; k < newoutmappedPoints.Dimensions[1]; k++)
{
newx = (double)newoutmappedPoints[1, k];
newy = (double)newoutmappedPoints[2, k];
newz = (double)newoutmappedPoints[3, k];
newact_point = new Vector3d(newx, newy, newz);
newPoints.Add(newact_point);
}
map_pointsToTransform = ThinPointCloud(newPoints, m, 50);
outMapedPointsOld = outMapedPointsNew;
// Call function getIterativeClosestPoints which returns a new Array of map_points with rotation and translation
//outMapedPoints= (MWCellArray)icp.getIterativeClosestPoints((MWNumericArray)map_pointsOrig, (MWNumericArray)map_points, (MWNumericArray)map_pointsToTransform,(MWNumericArray)15);
outMapedPointsNew = (MWCellArray)icpTest.getIterativeClosestPoints((MWNumericArray)map_pointsOrig, (MWNumericArray)map_pointsToTransform, outMapedPointsOld[1], (MWNumericArray)30);
}
stopWatch.Stop();
// Get the elapsed time as a TimeSpan value.
TimeSpan ts = stopWatch.Elapsed;
Console.WriteLine("End of ICP algorithm, it took : {0} minuts and {1} seconds!", ts.Minutes, ts.Seconds);
MWNumericArray mappedPoints = (MWNumericArray)outMapedPointsNew[1];
MWNumericArray rotation_vec = (MWNumericArray)outMapedPointsNew[2];
MWNumericArray translation_vec = (MWNumericArray)outMapedPointsNew[3];
Vector3d act_point;
List <Vector3d> points = new List <Vector3d>();
double x, y, z;
for (int i = 1; i <= mappedPoints.Dimensions[1]; i++)
{
x = (double)mappedPoints[1, i];
y = (double)mappedPoints[2, i];
z = (double)mappedPoints[3, i];
act_point = new Vector3d(x, y, z);
points.Add(act_point);
}
List <Vector4d> matrix = new List <Vector4d>();
Vector4d column;
for (int i = 1; i < 4; i++)
{
x = (double)mappedPoints[1, i];
y = (double)mappedPoints[2, i];
z = (double)mappedPoints[3, i];
column = new Vector4d((double)rotation_vec[i, 1], (double)rotation_vec[i, 2], (double)rotation_vec[i, 3], (double)translation_vec[i, 1]);
matrix.Add(column);
}
column = new Vector4d(0, 0, 0, 1);
matrix.Add(column);
//WriteTransformationMatrix(matrix, "..\\..\\..\\..\\..\\03Daten\\registratedData\\MeshTomo_to_SimulatedTransformation.txt");
transMatrix = matrix;
//GetNearestPoints(points, pointsOrig);
return(points);
}
public List <int> GetNearestPoints(List <Vector3d> points, List <Vector3d> pointsOrig, Dictionary <String, List <float> > scalarDataRegistratedPoints, Dictionary <String, List <float> > scalarDataOriginalPoints)
{
//Dictionary<string, List<float>>.KeyCollection KeyCollRegistrated = scalarDataRegistratedPoints.Keys;
//int nKeysRegistrated = KeyCollRegistrated.Count();
//Dictionary<string, List<float>>.KeyCollection KeyCollOriginal = scalarDataOriginalPoints.Keys;
//int nKeysOriginal = KeyCollOriginal.Count();
//List<float> scalarValuesX = new List<float>();
//scalarDataOriginalPoints.TryGetValue(KeyCollOriginal.ElementAt<string>(0), out scalarValuesX);
//List<float> scalarValuesY = new List<float>();
//scalarDataOriginalPoints.TryGetValue(KeyCollOriginal.ElementAt<string>(1), out scalarValuesY);
//List<float> scalarValuesZ = new List<float>();
//scalarDataOriginalPoints.TryGetValue(KeyCollOriginal.ElementAt<string>(2), out scalarValuesZ);
//// create vectorfield
//List<Vector3d> vectorFielRegistratedPoints = new List<Vector3d>();
//for (int i = 0; i < scalarValuesX.Count(); i++)
//{
// Vector3d vec = new Vector3d(scalarValuesX[i], scalarValuesY[i], scalarValuesZ[i]);
// vectorFielRegistratedPoints.Add(vec);
//}
//scalarDataRegistratedPoints.TryGetValue("x_velocity", out scalarValuesX);
//scalarDataRegistratedPoints.TryGetValue("y_velocity", out scalarValuesY);
//scalarDataRegistratedPoints.TryGetValue("z_velocity", out scalarValuesZ);
//// create vectorfield
//List<Vector3d> vectorFielOriginalPoints = new List<Vector3d>();
//for (int i = 0; i < scalarValuesX.Count(); i++)
//{
// Vector3d vec = new Vector3d(scalarValuesX[i], scalarValuesY[i], scalarValuesZ[i]);
// vectorFielOriginalPoints.Add(vec);
//}
NearestNeighbor.NearestNeighbor interpolation = new NearestNeighbor.NearestNeighbor();
double[,] mappedPointsArray = new double[points.Count(), 3];
for (int i = 0; i < points.Count(); i++)
{
//if (vectorFielRegistratedPoints[i] != new Vector3d(0, 0, 0))
//{
mappedPointsArray.SetValue(points[i].X, i, 0);
mappedPointsArray.SetValue(points[i].Y, i, 1);
mappedPointsArray.SetValue(points[i].Z, i, 2);
//}
}
double[,] _pointsOrig = new double[pointsOrig.Count(), 3];
for (int i = 0; i < _pointsOrig.GetLength(0); i++)
{
//if (vectorFielRegistratedPoints[i] != new Vector3d(0, 0, 0))
//{
_pointsOrig.SetValue(pointsOrig[i].X, i, 0);
_pointsOrig.SetValue(pointsOrig[i].Y, i, 1);
_pointsOrig.SetValue(pointsOrig[i].Z, i, 2);
//}
}
MWCellArray outInterpolatedArray = null;
Console.WriteLine("Start of nearest point interpolation algorithm");
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
// Interpolate between outNewPointsMono and map_pointsStereo
// finds the nearest neighbor in _pointsOrig for each point in mappedPointsArray. outInterpolatedArray is a column vector with my rows.
// Each row in outInterpolatedArray contains the index of nearest neighbor in _pointsOrig for the corresponding row in mappedPointsArray.
outInterpolatedArray = (MWCellArray)interpolation.getnearestPosition((MWNumericArray)_pointsOrig, (MWNumericArray)mappedPointsArray);
stopWatch.Stop();
// Get the elapsed time as a TimeSpan value.
TimeSpan ts = stopWatch.Elapsed;
Console.WriteLine("End of NNInterpolation algorithm, it took : {0} minuts and {1} seconds!", ts.Minutes, ts.Seconds);
MWNumericArray outInterpolatedNumericArray = (MWNumericArray)outInterpolatedArray[1];
List <int> l_interpolatedPoints = new List <int>();
List <Vector3d> interpolatedMappedPoints = new List <Vector3d>();
for (int i = 1; i < outInterpolatedNumericArray.Dimensions[0] + 1; i++)
{
int interpolatedPoint = (int)outInterpolatedNumericArray[i, 1];
l_interpolatedPoints.Add(interpolatedPoint);
}
return(l_interpolatedPoints);
}
public FrequencyInfo realtimeAnalyze()
{
/*
* MWCellArray EPCArray = new MWCellArray(tagInfoQueue.Count, 1);
*
* int count = 0;
* ulong[] timestamp = new ulong[tagInfoQueue.Count];
* ushort[] phase = new ushort[tagInfoQueue.Count];
* int[] frequency = new int[tagInfoQueue.Count];
* foreach(TagInfo tagInfo in tagInfoQueue)
* {
* timestamp[count] = tagInfo.TimeStamp;
* phase[count] = tagInfo.RawPhase;
* frequency[count] = tagInfo.Frequency;
* EPCArray[++count, 1] = tagInfo.EPC;
* }
* MWNumericArray timeStampArray = timestamp;
* MWNumericArray phaseArray = phase;
* MWNumericArray frequencyIndex = frequency;
* MWArray[] argsIn = new MWArray[] { EPCArray, timeStampArray, phaseArray, frequencyIndex,0,1,10 };
* MWArray[] result = new MWArray[3];
* VitalSignsExtract vitalSignsExtract = new VitalSignsExtract();
* vitalSignsExtract.vitalSignsExtract(3,ref result,argsIn);
*/
Console.WriteLine("Realtime Analyzing...");
long[] timestampArray = timestampQueue.ToArray();
MWNumericArray timeStampArray = timestampArray;
double[] phaseArray1 = phaseQueue.ToArray();
MWNumericArray phaseArray = phaseArray1;
int[] frequencyArray = frequencyQueue.ToArray();
MWNumericArray frequencyIndex = frequencyArray;
string[] epcArray = epcQueue.ToArray();
Console.WriteLine("array size : " + epcArray.Length);
MWCellArray EPCArray = new MWCellArray(epcArray.Length, 1);
//MWNumericArray filter = 0;
//MWNumericArray method = 1;
//MWNumericArray T = 10;
for (int i = 0; i < epcArray.Length; i++)
{
EPCArray[i + 1, 1] = epcArray[i];
}
MWArray[] argsIn = new MWArray[] { EPCArray, timeStampArray, phaseArray, frequencyIndex, 0, 1, 10 };
MWArray[] result = new MWArray[3];
FrequencyInfo fre = new FrequencyInfo();
try
{
vitalSignsExtract.vitalSignsExtract(3, ref result, argsIn);
double[,] breathAndHb = (double[, ])(result[0].ToArray());
int fail = (int)(MWNumericArray)result[2];
Console.WriteLine("fail: " + fail);
fre.meanBreath = breathAndHb[0, 1];
fre.meanHeartbeat = breathAndHb[0, 3];
Console.WriteLine("breath:" + breathAndHb[0, 1] + " " + breathAndHb[0, 2]);
Console.WriteLine("heartbeat:" + fre.meanHeartbeat + " " + breathAndHb[0, 4]);
fre.fail = fail;
}catch (Exception ex)
{
Console.WriteLine(ex.ToString());
return(null);
}
return(fre);
}
public void IdentifyComputation()
{
//set generic simulator behavior - strategy
//GenericSimulator.SimulatorBehavior = new MySincSimulatorBehavior2(); //useless - matlab DLL have different static instance
try
{
BroadcastIdentifyStateMessage("Starting calculation ..." + DateTime.Now);
logger.Log(NLog.LogLevel.Info, "starting calculation ");
//invoke matlab Identification algorithm - does it use the GenericSimulator instance configured before???
Class1 class1 = new Class1();
logger.Log(NLog.LogLevel.Debug, "class1 init");
//set experiment variables and values
MWArray v_names = new MWCellArray(new MWCharArray(Enumerable.ToArray(variable_names)));
MWArray experiment = new MWNumericArray(variable_values);
//set identification parameters
MWArray p_names = new MWCellArray(new MWCharArray(Enumerable.ToArray(parameters.Keys)));
//set worker nodes urls
//var host = AppHostBase.Instance.Config.ServiceEndpointsMetadataConfig.DefaultMetadataUri;
//var myrepository = ((AppHostBase) EndpointHost.AppHost).Container.Resolve<WorkersRepository>();
//MWArray worker_urls = new MWCellArray(new MWCharArray(myrepository.GetByModelName(modelname).Select(x => x.RestUrl).ToArray()));
MWArray p_val = new MWNumericArray(parameters.Values.Select(parameter => parameter.Value).ToArray());
MWArray p_min = new MWNumericArray(parameters.Values.Select(parameter => parameter.Min).ToArray());
MWArray p_max = new MWNumericArray(parameters.Values.Select(parameter => parameter.Max).ToArray());
MWArray p_is_fixed =
new MWLogicalArray(parameters.Values.Select(parameter => !parameter.IsActive).ToArray());
//calculate identification
Stopwatch sw = Stopwatch.StartNew();
if (IAgenerations > 0) //set gaoptions
{
MWArray generations = new MWNumericArray(IAgenerations);
MWArray populationsize = new MWNumericArray(IApopulationsize);
MWArray tolfun = new MWNumericArray(IAtolfun);
class1.identify_gaoptimset(generations, populationsize, tolfun);
} //otherwise the matlab algorithm has it's own default values
logger.Log(NLog.LogLevel.Debug, "mwarray init");
var result = class1.identify_main(experiment, p_names, p_val, p_min, p_max, p_is_fixed, v_names, modelname, masterserviceurl);
logger.Log(NLog.LogLevel.Debug, "identify_main done");
sw.Stop();
/*var fitted_params = result[1];
var fitted_param_L2Enorm = result[2];
var fitted_variablevalues = result[3];
* */
//string fittedparams = "";
//for (int i=1;i < fitted_params.
//BroadcastIdentifyStateMessage("Elapsed time " + sw.Elapsed.ToString() + " Results: " + result);//fitted_params+" "+fitted_param_L2Enorm+" " + fitted_variablevalues);
//var myresult = result.ToArray();
BroadcastIdentifyResult(result.ToArray(),sw.Elapsed,class1.identify_getssq(),class1.identify_getcomputationcycles(),class1.identify_getsimulationtime());
}
catch (Exception e)
{
//TODO handle matlab exception
BroadcastIdentifyStateMessage(e.Message+e.StackTrace);
logger.Log(NLog.LogLevel.Error,"exception during identification "+e.Message+" stacktrace:"+e.StackTrace,e);
var f = e;//.InnerException;
while (f.InnerException != null)
{
f = f.InnerException;
logger.Log(NLog.LogLevel.Error, "innerexception:" + f.Message + " stacktrace:" + f.StackTrace, f);
}
}
// StopIdentify();
FinalizeIdentify();
}
void PlotAll()
{
/* 不同年 同月的数据*/
int length = band.ToArray().Length;
MWNumericArray band_1 = new MWNumericArray(MWArrayComplexity.Real, length, 1);
MWNumericArray band_2 = new MWNumericArray(MWArrayComplexity.Real, length, 1);
MWNumericArray band_3 = new MWNumericArray(MWArrayComplexity.Real, length, 1);
MWNumericArray band_4 = new MWNumericArray(MWArrayComplexity.Real, length, 1);
MWCellArray time_1 = new MWCellArray(4);
string this_time = cover.time;
DateTime this_date = Convert.ToDateTime(this_time + "-28");
string last1_time;
string last2_time;
string last3_time;
if (Convert.ToDouble(this_date.Month) >= 10)
{
last1_time = this_date.AddYears(-1).Year.ToString() + "-" + this_date.Month.ToString();
last2_time = this_date.AddYears(-2).Year.ToString() + "-" + this_date.Month.ToString();
last3_time = this_date.AddYears(-3).Year.ToString() + "-" + this_date.Month.ToString();
}
else
{
last1_time = this_date.AddYears(-1).Year.ToString() + "-0" + this_date.Month.ToString();
last2_time = this_date.AddYears(-2).Year.ToString() + "-0" + this_date.Month.ToString();
last3_time = this_date.AddYears(-3).Year.ToString() + "-0" + this_date.Month.ToString();
}
//MessageBox.Show(last1_time + last2_time + last3_time);
band_2 = DataGet(last1_time);
band_3 = DataGet(last2_time);
band_4 = DataGet(last3_time);
for (int i = 0; i < length; i++)
{
band_1[i + 1] = band[i];
}
time_1[1] = this_time;
time_1[2] = last1_time;
time_1[3] = last2_time;
time_1[4] = last3_time;
/* 同年不同月 的数据*/
MWNumericArray band_5 = new MWNumericArray(MWArrayComplexity.Real, length, 1);
MWNumericArray band_6 = new MWNumericArray(MWArrayComplexity.Real, length, 1);
MWNumericArray band_7 = new MWNumericArray(MWArrayComplexity.Real, length, 1);
MWCellArray time_2 = new MWCellArray(4);
if (Convert.ToDouble(this_date.AddMonths(-1).Month) >= 10)
{
last1_time = this_date.AddMonths(-1).Year.ToString() + "-" + this_date.AddMonths(-1).Month.ToString();
}
else
{
last1_time = this_date.AddMonths(-1).Year.ToString() + "-0" + this_date.AddMonths(-1).Month.ToString();
}
if (Convert.ToDouble(this_date.AddMonths(-2).Month) >= 10)
{
last2_time = this_date.AddMonths(-2).Year.ToString() + "-" + this_date.AddMonths(-2).Month.ToString();
}
else
{
last2_time = this_date.AddMonths(-2).Year.ToString() + "-0" + this_date.AddMonths(-2).Month.ToString();
}
if (Convert.ToDouble(this_date.AddMonths(-3).Month) >= 10)
{
last3_time = this_date.AddMonths(-3).Year.ToString() + "-" + this_date.AddMonths(-3).Month.ToString();
}
else
{
last3_time = this_date.AddMonths(-3).Year.ToString() + "-0" + this_date.AddMonths(-3).Month.ToString();
}
//MessageBox.Show(last1_time + last2_time + last3_time);
band_5 = DataGet(last1_time);
band_6 = DataGet(last2_time);
band_7 = DataGet(last3_time);
for (int i = 0; i < length; i++)
{
band_1[i + 1] = band[i];
}
time_2[1] = this_time;
time_2[2] = last1_time;
time_2[3] = last2_time;
time_2[4] = last3_time;
plot_all.grid_all(cover.lon_max, cover.lon_min, cover.lat_max, cover.lat_min, band_1, band_2, band_3, band_4, band_5, band_6, band_7, 1, time_1, time_2);
}
