algo updated
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parent
1ee60c80b2
commit
ebb28668a8
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@ -2,10 +2,7 @@
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#include <time.h>
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#include <gtk/gtk.h>
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/* variables declared of attack_detect function */
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float SUM_OF_FREQUENCY=0;
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float COUNT=0;
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time_t START;
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/* function declared */
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gboolean attack_detect(struct data_frame *df,time_t* START,float* COUNT,float* SUM_OF_FREQUENCY);
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gboolean attack_detect(struct data_frame *df);
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/* pavan changes */
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@ -6,17 +6,24 @@ x=[]
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y=[]
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x1=[]
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y1=[]
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x2=[]
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y2=[]
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with open('points.csv', mode ='r') as file:
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csvFile = csv.reader(file)
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for lines in csvFile:
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print(lines)
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x.append(float(lines[0]))
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y.append(0)
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x1.append(float(lines[2]))
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x1.append(float(lines[1]))
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y1.append(0)
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x2.append(float(lines[2]))
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y2.append(0)
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plt.scatter(x, y)
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plt.scatter(x1, y1)
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plt.scatter(x2,y2)
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plt.show()
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27500
iPDC/points.csv
27500
iPDC/points.csv
File diff suppressed because it is too large
Load Diff
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@ -1,60 +1,39 @@
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/* pavan changes */
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#include<time.h>
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#include<stdio.h>
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#include<stdlib.h>
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#include<gtk/gtk.h>
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#include <time.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <gtk/gtk.h>
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#include <math.h>
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#include "parser.h"
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gboolean attack_detect(struct data_frame *df,time_t* START,float* COUNT,float* SUM_OF_FREQUENCY)
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{
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// printf("freq: %d\n",to_intconvertor(&(df->dpmu[0]->fmt->freq)));
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// printf("analog: %d\n",to_intconvertor(&(df->dpmu[0]->fmt->analog)));
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// printf("phasor %d\n",to_intconvertor(&(df->dpmu[0]->fmt->phasor)));
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// printf("polar: %d\n",to_intconvertor(&(df->dpmu[0]->fmt->polar)));
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long double AVERAGE_OF_FREQUENCY = 50;
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unsigned long long int COUNT = 500;
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*COUNT = *COUNT+1;
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float CURR_FREQ=to_intconvertor(df->dpmu[0]->freq);
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*SUM_OF_FREQUENCY+=CURR_FREQ;
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float FREQ_AVG=*SUM_OF_FREQUENCY/(*COUNT*1.0f);
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float DETECT_PERCENT=(abs(FREQ_AVG-CURR_FREQ)/(FREQ_AVG*1.0f))*100;
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gboolean detect;
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/* detecting based on thershold */
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float THRESHOLD=60;
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if(DETECT_PERCENT>THRESHOLD)
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gboolean attack_detect(struct data_frame *df)
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{
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float CURR_FREQ = 50 + to_intconvertor(df->dpmu[0]->freq) * 1e-3;
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printf("Current freq: %f\n", CURR_FREQ);
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float DETECT_PERCENT = (fabs(AVERAGE_OF_FREQUENCY - CURR_FREQ) / (AVERAGE_OF_FREQUENCY * 1.0f)) * 100;
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/* detecting based on thershold frequency can vary only around 0.2 hz*/
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if (DETECT_PERCENT > 0.9)
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{
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detect=FALSE;
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printf("\033[0;31m");
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printf("ATTACK DETECTED!");
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printf("\033[0m");
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// intf(" Detect_percent: %f\n",DETECT_PERCENT);
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return FALSE;
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}
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else
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else
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{
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detect=TRUE;
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printf("\033[0;32m");
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printf("NO PROBLEM :)\n");
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printf("\033[0m");
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printf("\033[0m");
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/* updating mean of frequency */
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AVERAGE_OF_FREQUENCY = ((AVERAGE_OF_FREQUENCY * COUNT) + CURR_FREQ) / ++COUNT;
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printf("avg freq: %Lf\n", AVERAGE_OF_FREQUENCY);
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return TRUE;
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}
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/* calcculating time */
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if(*COUNT==1)
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{
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time(START);
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printf("entered\n");
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}
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time_t END;
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time(&END);
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double time_used = difftime(END,*START);
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printf("time used %lf\n",time_used);
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/* resetting after i minute */
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if(time_used > 60)
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{
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time(START);
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*SUM_OF_FREQUENCY=CURR_FREQ;
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*COUNT=1;
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}
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return detect;
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}
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/* pavan changes */
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@ -6,85 +6,85 @@
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long double *freq1;
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long double *freq2;
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int count_track1=0;
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int count_track2=0;
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int flag=0;
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int count_track1 = 0;
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int count_track2 = 0;
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int flag = 0;
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void DTWdistance(struct data_frame *df,int *result)
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void DTWdistance(struct data_frame *df, int *result)
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{
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float CURR_FREQ = 50 + to_intconvertor(df->dpmu[0]->freq)*1e-3;
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float CURR_FREQ = 50 + to_intconvertor(df->dpmu[0]->freq) * 1e-3;
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// printf("count1: %d\ncount2: %d\n",count_track1,count_track2);
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// printf("curr_freq: %f\n",CURR_FREQ);
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if(count_track1==0)
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if (count_track1 == 0)
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{
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if(flag==0)
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if (flag == 0)
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{
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flag=1;
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flag = 1;
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freq1 = (long double *)malloc(500 * sizeof(long double));
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}
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freq1[count_track2]=CURR_FREQ;
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freq1[count_track2] = CURR_FREQ;
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count_track2++;
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if(count_track2==500)
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if (count_track2 == 500)
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{
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count_track2=0;
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flag=0;
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count_track2 = 0;
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flag = 0;
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count_track1++;
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}
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}
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else if(count_track1==1)
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else if (count_track1 == 1)
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{
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if(flag==0)
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if (flag == 0)
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{
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flag=1;
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flag = 1;
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freq2 = (long double *)malloc(500 * sizeof(long double));
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}
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freq2[count_track2]=CURR_FREQ;
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freq2[count_track2] = CURR_FREQ;
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count_track2++;
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if(count_track2==500)
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if (count_track2 == 500)
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{
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count_track2=0;
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flag=0;
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count_track2 = 0;
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flag = 0;
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count_track1++;
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}
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}
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else
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{
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float** DTW = (float**)malloc(501 * sizeof(float*));
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float **DTW = (float **)malloc(501 * sizeof(float *));
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for (int i = 0; i < 501; i++)
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DTW[i] = (float*)malloc(501 * sizeof(float));
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DTW[i] = (float *)malloc(501 * sizeof(float));
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for(int i=0;i<501;i++)
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for (int i = 0; i < 501; i++)
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{
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for(int j=0;j<501;j++)
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DTW[i][j]=1000;
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for (int j = 0; j < 501; j++)
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DTW[i][j] = 1000;
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}
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DTW[0][0]=0;
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DTW[0][0] = 0;
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for(int i=1;i<501;i++)
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for (int i = 1; i < 501; i++)
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{
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for(int j=1;j<501;j++)
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for (int j = 1; j < 501; j++)
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{
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float cost=fabs(freq1[i-1]-freq2[j-1]);
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float cost = fabs(freq1[i - 1] - freq2[j - 1]);
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// printf("cost: %f",cost);
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DTW[i][j]=cost+fmin(DTW[i][j-1],fmin(DTW[i-1][j],DTW[i-1][j-1]));
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DTW[i][j] = cost + fmin(DTW[i][j - 1], fmin(DTW[i - 1][j], DTW[i - 1][j - 1]));
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// printf(" DTW[%d][%d]: %f\n",i,j,DTW[i][j]);
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}
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}
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printf("DTWdistance: %f\n",DTW[500][500]);
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if(DTW[500][500]>=35)
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printf("DTWdistance: %f\n", DTW[500][500]);
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if (DTW[500][500] >= 35)
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{
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free(freq2);
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*result=0;
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}
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*result = 0;
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}
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else
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{
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long double *temp=freq1;
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freq1=freq2;
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long double *temp = freq1;
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freq1 = freq2;
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free(temp);
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*result=1;
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*result = 1;
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}
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free(DTW);
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count_track1=1;
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count_track1 = 1;
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}
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}
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@ -14,30 +14,30 @@ unsigned long long int count_C = 1000;
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/*In India frequency ranges from 49.5 to 50.2 Hz*/
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long double std_dev = 0.6454972244;
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long double A = 0; // for point A=50
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long double A = 0; // for point A=50
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long double B = -1.5491933394; // for point B=49
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long double C = 0.7745966692; // for point C=50.5
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long double C = 0.7745966692; // for point C=50.5
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long double mean = 50;
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unsigned long long int count = 3000;
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gboolean kmeans(struct data_frame *df)
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{
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long double CURR_FREQ = 50 + to_intconvertor(df->dpmu[0]->freq) * 1e-3;
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long double CURR_FREQ_temp=CURR_FREQ;
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long double CURR_FREQ_temp = CURR_FREQ;
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CURR_FREQ = (CURR_FREQ - mean) / std_dev;
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long double diff_A = fabs(A - CURR_FREQ);
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long double diff_B = fabs(B - CURR_FREQ);
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long double diff_C = fabs(C - CURR_FREQ);
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fp = fopen("points.csv","a");
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printf("A: %Lf, B: %Lf, C: %Lf\n",A,B,C);
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fprintf(fp,"%Lf, %Lf, %Lf\n",A,B,C);
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fclose(fp);
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// fp = fopen("points.csv","a");
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// printf("A: %Lf, B: %Lf, C: %Lf\n",A,B,C);
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// fprintf(fp,"%Lf, %Lf, %Lf\n",A,B,C);
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// fclose(fp);
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/*Updating std_dev and mean*/
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printf("std_dev: %Lf, mean: %Lf\n",std_dev,mean);
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mean= ((mean*count)+CURR_FREQ_temp)/(++count);
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std_dev=(((std_dev*std_dev)*(count-1))+(CURR_FREQ*std_dev*CURR_FREQ*std_dev))/count;
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std_dev=sqrt(std_dev);
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// printf("std_dev: %Lf, mean: %Lf\n",std_dev,mean);
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mean = ((mean * count) + CURR_FREQ_temp) / (++count);
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std_dev = (((std_dev * std_dev) * (count - 1)) + (CURR_FREQ * std_dev * CURR_FREQ * std_dev)) / count;
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std_dev = sqrt(std_dev);
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if (diff_A <= diff_B && diff_A <= diff_C)
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{
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@ -20,9 +20,9 @@ gboolean update_images(gpointer* pars){
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return TRUE;
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}
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int freq = to_intconvertor(df->dpmu[0]->freq);
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//gboolean green =attack_detect(df,&START,&COUNT,&SUM_OF_FREQUENCY);
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gboolean green =attack_detect(df);
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//printf("map_vis A: %Lf, B: %Lf,C: %Lf\n",A,B,C);
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gboolean green = kmeans(df);
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//gboolean green = kmeans(df);
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//DTWdistance(df,&result);
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if(parameters->g_last_image != 0){
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osm_gps_map_image_remove(parameters->util_map, parameters->g_last_image);
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