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//Example 17_4 page no:834 clc; //given k=500; fc=10000; m=0.4; //Calculating the impedence and capacitance L=k/(4*%pi*fc); C=1/(4*%pi*fc*k); //calculating T-section elements C1=2*C/m; L1=L/m; C2=(4*m)*C/(1-m^2); C1=C1*10^6;//converting to microFarad L1=L1*1000;//converting to milliHenry C2=C2*10^6;//converting to microFarad disp("the T-section elements are"); disp(C1,"the capacitance between which inductance is connected is (in microFarad)"); disp(L1,"the inducatance connected in parallel is (in mH)"); disp(C2,"the capacitance connected in series is (in microFarad)"); //calculating the pi-section elements L1=2*L/m; L2=(4*m)*L/(1-m^2); C1=C/m; C1=C1*10^6;//converting to microFarad L1=L1*1000;//converting to milliHenry L2=L2*1000;//converting to milliHenry disp("the value of pi section elements are"); disp(C1,"the capacitance connected in parallel to inductor is(in microFarad)"); disp(L1,"the inductance connected parallel to each other is (in mH)"); disp(L2,"the inductance connected parallel to capacitor is(in mH)");
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// A Textbook of Fluid Mecahnics and Hydraulic Machines - By R K Bansal // Chapter 3-Hydrostatic Forces on surfaces // Problem 3.30 //Data given in the Problem dens=1000 g=9.81 b=1 y0=9 //Calculations //1) h=y0/2 A=y0*1 F_x=dens*g*A*h mprintf("The thrust is %f N in x direction \n",F_x) //2) F_y=dens*g*integrate("2*y^0.5","y",0,9) mprintf("The thrust is %f N in y direction \n",F_y) F=(F_x^2+F_y^2)^0.5 theta =(atan(F_y/F_x))*180/%pi mprintf("The Resultant force is %f kN at an angle of %f degrees \n",F*10^-3,theta)
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//chapter 2 printf("\n"); dl=1/40; Im=125; Rloss=1; Rrad=80*(%pi)^2*(dl)^2; printf("the Radiation resistance is %gohm",Rrad); Irms=Im/sqrt(2); Prad=Rrad*(Irms)^2; printf("\nthe Power radiated is %gW",Prad); n=Rrad/(Rrad+Rloss); printf("\nthe radiation efficiency is %g",n);
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//Ex_2_17 clc; clear; close; format('v',5); //given data : CD=10/100;BE=10/100;AF=10/100;//m BC=8/100;ED=8/100;AB=8/100;EF=8/100;//m BCDE=BC+CD+ED;//m BAFE=AB+BE+EF;//m A=2*2*10^-4;//m^2 mu_r=1200;///relative permeability N=800;//turns fi2=2*10^-3;//Wb mu0=4*%pi*10^-7;//permeability of air S2=BAFE/(mu0*mu_r*A);//Wb/m^2 S1=BE/(mu0*mu_r*A);//Wb/m^2 fi1=fi2*S2/S1;//Wb fi=fi1+fi2;//Wb AT2=fi*S2;//AT//for portion BAFE AT1=fi1*S1;//AT//for portion BCDE AT=AT1+AT2;//AT//Toal AT required NI=AT;//AT I=NI/N;//A disp(I,"Magnetizing current(A)");
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clear; clc; //Example 8.3 Rcsnk=1;//degree celsius per watt Rsamb=5;//degree celsius per watt Tjmax=175;//maximum junction temperature Toc=25; Tamb=25; Pr=20;//rated power W Rdcase=(Tjmax-Toc)/Pr; printf('\ndevice to case thermal resistance=%.2f °C/W\n',Rdcase) P=(Tjmax-Tamb)/(Rdcase+Rcsnk+Rsamb); printf('\nmaximum power dissipation=%.2f W\n',P)
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// Copyright (C) 2012 - Prateek Papriwal // // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // <-- JVM NOT MANDATORY --> // // Check empty matrix p = distfun_binocdf([],[],[]); assert_checkequal(p,[]); // Check with X scalar, N scalar, Pr scalar // computed = distfun_binocdf(100,162,0.5); expected = 0.9989567; assert_checkalmostequal(computed,expected,1.e-7); // Check with expanded X computed = distfun_binocdf([5 15],100,0.05); expected = [0.6159991 0.9999629]; assert_checkalmostequal(computed,expected,1.e-7); // Check with expanded N computed = distfun_binocdf(5,[50 100],0.05); expected = [0.9622238 0.6159991]; assert_checkalmostequal(computed,expected,1.e-7); // Check with expanded Pr computed = distfun_binocdf(5,50,[0.05 0.1]); expected = [0.9622238 0.6161230]; assert_checkalmostequal(computed,expected,1.e-7); // Check with two arguments expanded computed = distfun_binocdf([5 10],[50 100],0.05); expected = [0.9622238 0.9885276]; assert_checkalmostequal(computed,expected,1.e-7); computed = distfun_binocdf([5 10],100,[0.05 0.1]); expected = [0.6159991 0.5831555]; assert_checkalmostequal(computed,expected,1.e-7); computed = distfun_binocdf(5,[50 100],[0.05 0.1]); expected = [0.9622238 0.0575769]; assert_checkalmostequal(computed,expected,1.e-6); // Check with all the arguments expanded computed = distfun_binocdf([5 10],[50 100],[0.05 0.1]); expected = [0.9622238 0.5831555]; assert_checkalmostequal(computed,expected,1.e-7); // // Check vectorisation // N = 100; Pr = 0.22; X = linspace(1,100,10); p = distfun_binocdf(X,N,Pr); p2 = []; for i = 1:10 p2(1,i) = distfun_binocdf(X(i),N,Pr); end assert_checkequal(p,p2); // Accuracy test using data in binocdf_yalta.dataset.csv file precision = 1.e-5; path=distfun_getpath(); dataset = fullfile(path,"tests","unit_tests","binomial","binocdf_yalta.dataset.csv"); table = assert_csvread ( dataset , "," , [] , "/#(.*)/" ); table = evstr(table); ntests = size(table,"r"); for i = 1 : ntests x = table(i,1); N = table(i,2); pr = table(i,3); expected = table(i,4); computed = distfun_binocdf(x,N,pr); assert_checkalmostequal ( computed , expected , precision ); // Compute number of significant digits if ( %f ) then d = assert_computedigits ( computed , expected ); mprintf("Test #%d/%d: Digits = %.1f\n",i,ntests,d); end end // Accuracy test using data in binocdf.R.dataset.csv file precision = 1.e-12; path=distfun_getpath(); dataset = fullfile(path,"tests","unit_tests","binomial","binocdf.R.dataset.csv"); table = assert_csvread ( dataset , "," , [] , "/#(.*)/" ); table = evstr(table); ntests = size(table,"r"); for i = 1 : ntests x = table(i,1); N = table(i,2); pr = table(i,3); expected = table(i,5); computed = distfun_binocdf(x,N,pr); assert_checkalmostequal ( computed , expected , precision ); // Compute number of significant digits if ( %f ) then d = assert_computedigits ( computed , expected ); mprintf("Test #%d/%d: Digits = %.1f\n",i,ntests,d); end end // Accuracy test using data in binomialcdf.dataset.csv file precision = 1.e-5; path=distfun_getpath(); dataset = fullfile(path,"tests","unit_tests","binomial","binomialcdf.dataset.csv"); table = assert_csvread ( dataset , "," , [] , "/#(.*)/" ); table = evstr(table); ntests = size(table,"r"); for i = 1 : ntests x = table(i,1); N = 1030; pr = 0.5; expected = table(i,2); computed = distfun_binocdf(x,N,pr); assert_checkalmostequal ( computed , expected , precision ); // Compute number of significant digits if ( %f ) then d = assert_computedigits ( computed , expected ); mprintf("Test #%d/%d: Digits = %.1f\n",i,ntests,d); end end // check upper tail p = distfun_binocdf(3,10,0.1); lt_expected = 0.9872048; assert_checkalmostequal(p,lt_expected,1.e-7); // clear p; q = distfun_binocdf(3,10,0.1,%f); ut_expected = 0.0127952; assert_checkalmostequal(q,ut_expected,1.e-6); // // Check extreme upper tail q = distfun_binocdf(3,10,0.00001,%f); assert_checkalmostequal(q,2.099899202099975904e-18);
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clc //initialisation of variables Ka= 1.772*10^-4 //CALCULATIONS pK= -log10(Ka) //RESULTS printf ('pKa = %.2f ',pK)
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//definitions DEFINE_DBG=0; DEFINE_MFCC = 0; DEFINE_PC1_PC3=1; TRAINING_RATE=0.6; PC1=11; PC2=12; PC3=13; PC4=14; MFCC1=15; MFCC2=16; Vc=1; f=2; d=3; configuration=zeros(5,3,4); configuration(:,:,1)=[1 2 3; 1 4 3; 1 8 3; 1 16 3;1 32 3]; configuration(:,:,2)=[2 2 3; 2 4 3; 2 8 3; 2 16 3;2 32 3]; configuration(:,:,3)=[3 2 3; 3 4 3; 3 8 3; 3 16 3;3 32 3]; configuration(:,:,4)=[4 2 3; 4 4 3; 4 8 3; 4 16 3;4 32 3]; [rC,cC,dC]=size(configuration); dataset=['data.csv', 'data_v2.csv', 'data_v3.csv']; [r,c]=size(dataset); //Variable to store each experimental run result = zeros(r*rC,3); resultIndex=1; for TestSet=1:c for Dim=1:dC if Dim == 1 DEFINE_PC1 = 1; DEFINE_PC1_PC2 = 0; DEFINE_PC1_PC2_PC3 = 0; DEFINE_PC1_PC2_PC3_PC4 = 0; elseif Dim == 2 DEFINE_PC1 = 0; DEFINE_PC1_PC2 = 1; DEFINE_PC1_PC2_PC3 = 0; DEFINE_PC1_PC2_PC3_PC4 = 0; elseif Dim == 3 DEFINE_PC1 = 0; DEFINE_PC1_PC2 = 0; DEFINE_PC1_PC2_PC3 = 1; DEFINE_PC1_PC2_PC3_PC4 = 0; else DEFINE_PC1 = 0; DEFINE_PC1_PC2 = 0; DEFINE_PC1_PC2_PC3 = 0; DEFINE_PC1_PC2_PC3_PC4 = 1; end for Config=1:rC //generating data for training and testing procedures [Xtrain,Dtrain,Xtest,Dtest]= GenerateData(TRAINING_RATE,dataset(TestSet)); NeuralNetwork=configuration(Config,:,Dim); filename='WPC13.sod'; disp('Training model ' + string(Config) +'.....') W=Treina(Xtrain',Dtrain',NeuralNetwork); if DEFINE_DBG == 1 then disp(W); end save(filename,'W'); y = Classification(Xtest',W,NeuralNetwork); disp('Classification result for testing set: ' + dataset(TestSet) + ' and Configration: ' + string(Config) + 'with number of inputs: ' + string(Dim)); //disp(y'); //disp('Expected result'); //disp(Dtest); [Success,Errors,Accuracy] = TestPerformance(y',Dtest); result(resultIndex,1)=Success; result(resultIndex,2)=Errors; result(resultIndex,3)=Accuracy; resultIndex=resultIndex+1; end end end csvWrite(result,'results_ry_60.csv');
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//Variable declaration Vt=0.0258 mu_n=1300 mu_p=500 //Calculations Dn=Vt*mu_n Dp=Vt*mu_p //Result printf('Dn = %0.3f cm**2 s**-1 \n',Dn) printf('Dp = %0.3f cm**2 s**-1 \n',Dp)
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clear //Given l=1.001 A=1.001 //Calculation R=l*A R1=R-1 A=R1*100 //Result printf("\n Percentage change in its resistance is %0.1f percentage",A)
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//Example 10 // Frequencies clc; clear; close; //given data : l=2;// in m v=3560;// in m/s r=0.004;// in m k=r/2; v1=%pi*v*k*3.011^2/(8*l^2); disp(v1,"The frequency,v1(Hz) = ") v2=%pi*v*k*5^2/(8*l^2); disp(v2,"The frequency of first overtone,v2(Hz) = ") v3=%pi*v*k*7^2/(8*l^2); disp(v3,"The frequency of second overtone,v3(Hz) = ")
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//Example 8.8 //Program to determine: //(a)Optical gain of the device //(b)Common emitter current gain clear; clc ; close ; //Given data eeta=0.40; //*100 percent - QUANTUM EFFICIENCY e=1.602*10^(-19); //Coulumbs - CHARGE OF AN ELECTRON h=6.626*10^(-34); //J/K - PLANK's CONSTANT c=2.998*10^8; //m/s - VELOCITY OF LIGHT IN VACCUM Lambda=1.26*10^(-6); //metre - OPERATING WAVELENGTH Ic=15*10^(-3); //A - COLLECTOR CURRENT Po=125*10^(-6); //Watt - INCIDENT OPTICAL POWER //(a)Optical Gain Go=h*c*Ic/(Lambda*e*Po); //(b)Common emitter current gain h_FE=Go/eeta; //Displaying the Results in Command Window printf("\n\n\t (a)Optical Gain, Go = %0.1f.",Go); printf("\n\n\t (b)Common emitter current Gain, h_FE = %0.1f.",h_FE);
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// Example 1.53 clear; clc; close; format('v',6); // Given data IscByIfl=5;//ratio Sf=5;//in % K=50;//tapping in % //Calculations Sf=Sf/100;//Slip //(i) Start delta TstByTfl=1/3*IscByIfl^2*Sf;//ratio disp("(i) Starting torque is "+string(TstByTfl*100)+"% of full load torque."); //(ii) Auto Transformer having 50% tapping K=K/100;//tapping TstByTfl=K^2*IscByIfl^2*Sf;//ratio disp("(ii) Starting torque is "+string(TstByTfl*100)+"% of full load torque.");
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clear// //Variables VS = 12.0 //Source coltage (in volts) R = 470.0 //Resistance (in ohm) //Calculation VD = 0 //Voltage drop across diode (in volts) VR = VS //Value of VR (in volts) I = VS/R //Current (in Ampere) //Result printf("\n Value of VD is %0.3f V.\nValue of VR is %0.3f V.\nCurrent through the circuit is %0.2f mA.",VD,VR,I*10**3)
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// Lecture de l'image img=readpbm('U1.pbm'); //Définition de matrice de convulution laplacienne filtre=[0,-1,0;-1,4,-1;0,-1,0]; //Application de la convultion. imgc=conv2(img,filtre,'same'); //Affichage de l'image finale display_gray(imgc);
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//Tested on Windows 7 Ultimate 32-bit //Chapter 5 Bipolar Transistor Biasing Pg no. 165 clear; clc; //Given Data //Figure 5.26 RL=10;//load resistance in ohms which is dc resistance of primary coil of transistor R=20D3;//base collector parallel resistance in ohms B=90;//DC CE current gain beta //Solution S=(B+1)/(1+(B*RL)/(RL+R));//stability factor S printf("S = %.2f",S);
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// Copyright (C) 2015 - IIT Bombay - FOSSEE // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // Author: Rohan Gurve // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in // function mask =roiFreeHand(Image) // This is a gui based function which is used to create a mask by selecting the region of interest // // Calling Sequence // src = imread(image-location-for-src) // mask = roiFreeHand(src) // // Parameters // mask: Output 8 bit mask image with same size as input image // image: Input image to be masked // // Description // This function allows the user to create a mask by selecting the region of interest in the image. // Start selecting the region of interest by pressing the left mouse button and moving in the clockwise direction. // Don't leave the left mouse button until you are done selecting the region. Once the region has been selected, // wait until the process completes. // More than one region of interest can be selected by repeating the same procedure. // Once you are done selecting the ROI, press the small 's' key.This would stop the process. // This function returns a 8 bit mask image with (the ROI being white and the rest of the region being black). // // Note // more than one ROI can be selected from the image. Press key 's' only after all ROI have been selected. // Move the mouse only in the clockwise direction. // This algorithm assumes that the selected points in the ROI are very close to each other. Thus for best result, move // the mouse slowly while selecting the ROI // // Examples // // src = imread("/images/color2.jpeg"); // mask = roiFreeHand(src); //creating a mask // imshow(mask) //view the mask // // outputImage1 = colorChange(src, mask) //using this mask in the colorChange function // imshow(outputImage1);//view the output // // Authors // Rohan Gurve imshow(Image); FigureHandle = gcf(); FigureHandle.figure_name = "Create mask - Select ROI "; Diagram=gca(); //Diagram.axes_visible = ['off' 'off' 'off']; //Diagram.isoview = 'on'; ImageList=mattolist(Image); [rows cols]=size(ImageList(1)); temp_mask = zeros(ImageList(1)); while(1) do pointsList = list(); while(1) //start selection of points only when the user presses the left mouse button [b,x_new,y_new]=xclick(); if(b==0 & ( (x_new <= cols) & (x_new>=0) & (y_new<= rows) & (y_new>=0))) then//left mouse button has been pressed break; //consider the point only if it lies inside the image elseif(b==115) //key s has been pressed break; end; end; if(b==0) then x_new = ceil(x_new); y_new = ceil(y_new); pointsList($+1)=[x_new y_new]; rep=[x_new,y_new,0]; plot([x_new x_new], [y_new y_new],'rx'); while rep(3)~=-5 do // left mouse button has been pressed rep=xgetmouse([%t %t]); x_temp= ceil(rep(1)); y_temp= ceil(rep(2)); if( (x_temp <= cols) & (x_temp>=0) & (y_temp<= rows) & (y_temp>=0)) then// consider the point only if it lies inside the image x_old=x_new;y_old=y_new; x_new=x_temp;y_new=y_temp; x = [x_old x_new]; y = [y_old y_new]; pointsList($+1)=[x_new y_new]; plot(x, y); end; end; //-**ROI has been selected - the computation of the ROI will take palce now **-/ //first marking the boundary FigureHandle.figure_name = "Wait (processing.............)"; for i=1: (length(pointsList) -1) //intensity; if( (pointsList(i+1)(1,1) - pointsList(i)(1,1)) < 0) //moved from right to left intensity = 0; //negative area if( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) < 0) //moved from up to down //-- moved from up to down & from right to left --// increase_ht = 0 ; for j=pointsList(i+1)(1,1):pointsList(i)(1,1) temp_mask(rows - pointsList(i+1)(1,2) - increase_ht +1 ,j) = 1; //marking the boundary as 1 increase_ht=increase_ht+1; end; elseif( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) > 0) //moved from down to up //-- moved from down to up & from right to left --// increase_ht = 0 ; for j=pointsList(i+1)(1,1):pointsList(i)(1,1) temp_mask(rows - pointsList(i+1)(1,2) + increase_ht +1 ,j) = 1; //marking the boundary as 1 increase_ht=increase_ht + 1; end; else//both points have same height for j=pointsList(i+1)(1,1):pointsList(i)(1,1) temp_mask(rows - pointsList(i+1)(1,2) +1 ,j) = 1; //marking the boundary as 1 end; end elseif( (pointsList(i+1)(1,1) - pointsList(i)(1,1)) > 0) intensity =255;//positive area if movement from left to right if( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) < 0) //moved from up to down //-- moved from up to down and from left to right --// increase_ht = 0 ; for j=pointsList(i)(1,1):pointsList(i+1)(1,1) temp_mask(rows - pointsList(i)(1,2) + increase_ht +1 ,j) = 1; //marking the boundary as 1 increase_ht=increase_ht + 1; end; elseif( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) > 0) //moved from down to up //-- moved from down to up and from left to right --// increase_ht = 0 ; for j=pointsList(i)(1,1):pointsList(i+1)(1,1) temp_mask(rows - pointsList(i)(1,2) - increase_ht +1 ,j) = 1; //marking the boundary as 1 increase_ht=increase_ht+1; end; else //both points have same height for j=pointsList(i)(1,1):pointsList(i+1)(1,1) temp_mask(rows - pointsList(i)(1,2) +1 ,j) = 1; //marking the boundary as 1 //increase_ht=increase_ht+1; end; end else//both coordinate have the same x coordinate if( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) < 0) //moved from up to down for j=0:(pointsList(i)(1,2) - pointsList(i+1)(1,2)) temp_mask(rows - pointsList(i)(1,2) + j +1 ,pointsList(i)(1,1)) = 1; //marking the boundary as 1 end else for j=0:(pointsList(i+1)(1,2) - pointsList(i)(1,2)) //moved from down to up temp_mask(rows - pointsList(i)(1,2) - j +1 ,pointsList(i)(1,1)) = 1; //marking the boundary as 1 end end end //if end //for loop //next marking the area for i=1: (length(pointsList) -1) //intensity; if( (pointsList(i+1)(1,1) - pointsList(i)(1,1)) < 0) //moved from right to left intensity = 0; //negative area if( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) < 0) //moved from up to down //-- moved from up to down & from right to left --// for j=0:(pointsList(i)(1,1)-pointsList(i+1)(1,1)) increase_ht = 1 ; while( ((rows - pointsList(i+1)(1,2) -j + increase_ht +1 ) <= rows) & (temp_mask(rows - pointsList(i+1)(1,2) -j + increase_ht +1 ,pointsList(i+1)(1,1)+j) ~ = 1) ) //loop until it reaches the any boundary or image border temp_mask(rows - pointsList(i+1)(1,2) -j + increase_ht +1 ,pointsList(i+1)(1,1)+j) = 0; //marking the underneath area as 0 increase_ht=increase_ht + 1; end; end; elseif( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) > 0) //moved from down to up //-- moved from down to up & from right to left --// for j=0:(pointsList(i)(1,1)-pointsList(i+1)(1,1)) increase_ht = 1 ; while( ((rows - pointsList(i+1)(1,2) + j + increase_ht +1) <= rows) & (temp_mask(rows - pointsList(i+1)(1,2)+j + increase_ht +1 ,pointsList(i+1)(1,1)+j) ~= 1) ) //loop until it reaches any boundary or image border temp_mask(rows - pointsList(i+1)(1,2) + j + increase_ht +1 ,pointsList(i+1)(1,1)+j) = 0; //marking the underneath area as 0 increase_ht = increase_ht + 1 ; end; end; else //both point on same height for j=0:(pointsList(i)(1,1)-pointsList(i+1)(1,1)) increase_ht = 1 ; while( ((rows - pointsList(i+1)(1,2) + increase_ht +1) <= rows) & (temp_mask(rows - pointsList(i+1)(1,2) + increase_ht +1 ,pointsList(i+1)(1,1)+j) ~= 1) ) //loop until it reaches any boundary or image border temp_mask(rows - pointsList(i+1)(1,2) + increase_ht +1 ,pointsList(i+1)(1,1)+j) = 0; //marking the underneath area as 0 increase_ht = increase_ht + 1 ; end; end; end //"moved from up to down" 'if' end elseif( (pointsList(i+1)(1,1) - pointsList(i)(1,1)) > 0)// moved from left to right intensity =255;//positive area if movement from left to right if( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) < 0) //moved from up to down //--moved from up to down and from left to right --// for j=0:(pointsList(i+1)(1,1)-pointsList(i)(1,1)) increase_ht = 1 ; while(((rows - pointsList(i)(1,2) + increase_ht + j +1) <= rows) & (temp_mask(rows - pointsList(i)(1,2) + increase_ht +1 +j,j+pointsList(i)(1,1)) ~ = 1) ) //loop until it reaches the any boundary or image border temp_mask(rows - pointsList(i)(1,2) + increase_ht +j +1 ,j+pointsList(i)(1,1)) = 255; //marking the underneath area as 255 increase_ht = increase_ht + 1 ; end; end; elseif( (pointsList(i+1)(1,2) - pointsList(i)(1,2)) > 0) //moved from down to up //-- moved from down to up and from left to right --// for j=0:(pointsList(i+1)(1,1)-pointsList(i)(1,1)) increase_ht = 1 ; while( ((rows - pointsList(i)(1,2) + increase_ht -j +1) <= rows ) & (temp_mask(rows - pointsList(i)(1,2) -j + increase_ht +1 ,pointsList(i)(1,1)+j) ~ = 1) ) //loop until it reaches the any boundary or image border temp_mask(rows - pointsList(i)(1,2) - j + increase_ht +1 ,pointsList(i)(1,1)+j) = 255; //marking the underneath area as 255 increase_ht = increase_ht + 1 ; end; end; else for j=0:(pointsList(i+1)(1,1)-pointsList(i)(1,1)) increase_ht = 1 ; while( ((rows - pointsList(i)(1,2) + increase_ht +1) <= rows ) & (temp_mask(rows - pointsList(i)(1,2) + increase_ht +1 ,pointsList(i)(1,1)+j) ~ = 1) ) //loop until it reaches the any boundary or image border temp_mask(rows - pointsList(i)(1,2) + increase_ht +1 ,pointsList(i)(1,1)+j) = 255; //marking the underneath area as 255 increase_ht = increase_ht + 1 ; end; end; end;//moved from up to down's if end end; //if statement end;//for loop's end FigureHandle.figure_name = "Create mask - Select ROI"; //-** the computation of the selected ROI has been completed **-/ //mask = pointsList; else //b==115 break;//ROI has been selected - stopping the selection process end //if(b==0) mask = temp_mask; end //while(1) loop's end endfunction
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clc; clear; A=114 //effective Richardson constant A/K^2*cm^2 e=1.6*10^-19 //in J T=300 //in K phi_Bn=0.82 //in eV const=0.026 //value for kT/e in V //Calculation J0=A*T^2*exp(-(phi_Bn/const)) mprintf("Reverse saturation current density= %1.2e A/cm^2",J0)
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//Example 3.14: clc; clear; close; //given data : alfa=0.992;// constant Beta=alfa/(1-alfa); format('v',5) disp(Beta,"(a) Beta= ") I_CBO=48*10^-9;// in A I_CEO=(1+Beta)*I_CBO*10^6; format('v',3) disp(I_CEO,"(a) I_CEO (micro-A) = ") Ib=30*10^-6;// in A Ic=((Beta*Ib)+(1+Beta)*I_CBO)*10^3; format('v',5) disp(Ic,"(b) Collector current,Ic(mA) = ")
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// Scilab Code Ex12.9 : Page-607 (2011) clc; clear; n = 50;....// Total number of cycles per sec, Hz V = 1e-03;....// Volume of the specimen, metre cube t = 1;....// Time during which the loss occurs, s A = 0.25e+03;....// Area of B-H loop, joule per metre cube E = n*V*A*t; // Energy loss due to hysteresis, J/s printf("\nThe hystersis loss = %4.1f J/s", E); // Result // The hystersis loss = 12.5 J/s
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clear;lines(0); M=round(2*rand(20,1)); unique(M) [N,k]=unique(M) unique(string(M)) [N,k]=unique(string(M))
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//============================================================================================= // chapter 6 example 12 clc; clear; //input data d1 = 0.05; //inner diametr in m d2 = 0.07; //outer diameter in m l = 2000; //length in m p = 6*10^12; //specific resistance in ohm-m //formula r1 = d1/2; //radius in m r2 = d2/2; //radius in m //calculation R = (p/(2*%pi*l))*(log(r2/r1)) //insulation resistance //result mprintf('insulation resistance =%1e.ohm\n',R); mprintf(' Note: calculation mistake in textbook in calculating insulating resistance'); //==========================================================================================
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clc,clear printf('Example 3.5\n\n') V=250 I_av=10 V_av=(240+220)/2 //average voltage across load W_dash=V_av*I_av //Power absorbed t1=25,t2=6 R_sh=200,R_a=0.3//resistance of field winding and armature W=W_dash*t2/(t1-t2) //Stray Losses I_l=25 //Input current I_sh=V/R_sh //current through field winding I_a=I_l-I_sh //Armature current arm_cu_loss=R_a*I_a^2 //Armature copper losses sh_cu_loss=R_sh*I_sh^2 // Shunt copper loss Total_losses= arm_cu_loss + sh_cu_loss + W Motor_input=V*I_l Output=Motor_input- Total_losses efficiency=Output*100/Motor_input printf('Efficiency as motor at 25 A and 250 V is %.2f percent',efficiency)
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clear // Variable declaration R_i=0.3// The inside surface resistance in (m**2 K)/W R_c=1/2.8// The thermal conductance of plastered surface in (m**2 K)/W R_o=0.05// The outside surface resistance in (m**2 K)/W // Calculation R_t=R_i+R_c+R_o// The total thermal resistance in (m**2 K)/W U=1/R_t// The overall transmittance in W/(m**2 K) printf("\n The overall transmittance,U= %0.3f W/(m**2 K)",U)
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function X = Montante(MAT) pivote = 0 for(i = 1:size(MAT,1) end endfunction MAT = input("Da la matriz") X = Montante(MAT) disp(X)
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no_index_02.tst
// @Harness: verifier // @Purpose: "Test that indexing is applied only to the appropriate types" // @Result: "TypeDoesNotSupportIndex @ 7:13" architecture no_index_01 { enum E { r = 0 } subroutine foo(e: E): void { local foo: int = e[0]; } }
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//decimal to signed binary number// //example 20.b// clc //clears the command window// clear //clears// //decimal to signed binary number system// x=-29 a=dec2bin(-x) //decimal to binary conversion// a=dec2bin(-x+bin2dec('100000')) disp('the answer is:') disp(a) //since the number is negative it starts with a 1//
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clc //to calculate wavelength n=2 //second order for longest wavelength d=2.82*10^-10 // spacing in angstrom sintheta=1 lambdamax=2*d*sintheta/n disp("the longest wavelength that can be analysed by a rock salt crystal is lambdamax="+string(lambdamax)+"m")
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solution2_1.sce
//Obtain path of solution file path = get_absolute_file_path('solution2_1.sce') //Obtain path of data file datapath = path + filesep() + 'data2_1.sci' //Clear all clc //Execute the data file exec(datapath) //Calculate weightage points for all materials //U - Ultimate tensile strength, H - Hardenability index, C - Cost //Store the summations of each category in Uweigh, Hweigh and Cweigh respectively Uweigh = 0 Hweigh = 0 Cweigh = 0 for i = 1:1:4 Uweigh = Uweigh + U(i) Hweigh = Hweigh + H(i) Cweigh = Cweigh + (C(i)^(-1)) end //Store percent strength for each material in Uper, Hper and Cper arrays according to respective categories //Store points for each material in Up, Hp and Cp arrays according to respective categories for i = 1:1:4 Uper(i) = U(i)/Uweigh Up(i) = Uper(i) * Uw Hper(i) = H(i)/Hweigh Hp(i) = Hper(i) * Hw Cper(i) = (C(i)^(-1))/Cweigh Cp(i) = Cper(i) * Cw end //Store total points for each material in t array for i = 1:1:4 t(i) = Up(i) + Hp(i) + Cp(i) end //Print result table. Refer Table 2.14 on page 53 printf('\n\t|Material Property\t|Low alloy steel\t|Plain carbon steel\t|Stainless steel\t|Chromium steel\n') printf('\na)\tTensile Strength') printf('\n\tPer cent') for i = 1:1:4 printf('\t\t%0.3f\t',Uper(i)) end printf('\n\tPoints') for i = 1:1:4 printf('\t\t\t%0.3f',Up(i)) end printf('\n\nb)\tHardenability') printf('\n\tPer cent') for i = 1:1:4 printf('\t\t%0.3f\t',Hper(i)) end printf('\n\tPoints') for i = 1:1:4 printf('\t\t\t%0.3f',Hp(i)) end printf('\n\nc)\tCost') printf('\n\tPer cent') for i = 1:1:4 printf('\t\t%0.3f\t',Cper(i)) end printf('\n\tPoints') for i = 1:1:4 printf('\t\t\t%0.3f',Cp(i)) end printf('\n\n\tTotal Points') for i = 1:1:4 printf('\t\t%0.3f\t',t(i)) end //Store all values of t in s array for i = 1:1:4 s(i) = t(i) end //Find the material with largest value of total points using s array for i = 1:1:3 if (s(i)>s(i+1)) then s(i+1) = s(i) end end //Largest value is obtained when i becomes 3 and the value is stored in s(i+1) //Display the best material choice = s(i+1) if(choice == t(1)) printf('\n\nLow alloy steel is the best material for the component\n') else if (choice == t(2)) printf('\n\nPlain carbon steel is the best material for the component\n') else if (choice == t(3)) printf('\n\nStainless steel is the best material for the component\n') else printf('\n\nChromium steel is the best material for the component\n') end
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function [Q1, Q2, Q3] = aleaProp(Tmax, lambda, mu) Q1 = [0, 0, 0]; Q2 = Q1; Q3 = Q1; i = 0; ta = 0; while (ta < Tmax) ia = randExp(1, lambda) i = i+1 ta = ta + ia nq = num_serv() ts = randExp(1, mu(nq)) select nq case 1 Q1 = insere(Q1, ta, ts) case 2 Q2 = insere(Q2, ta, ts) else Q3 = insere(Q3, ta, ts) end end Q1 = Q1(Q1(:,1)<Tmax,:) Q2 = Q2(Q2(:,1)<Tmax,:) Q3 = Q3(Q3(:,1)<Tmax,:) endfunction lambda= 1/3; mu = [1/15, 1/10, 1/6]; [Q1, Q2, Q3] = aleaProp(36000, lambda, mu); plot2d(Q1(:,1), Q1(:,2), style= 1) plot2d(Q2(:,1), Q2(:,2), style= 2) plot2d(Q3(:,1), Q3(:,2), style= 3) function nq = num_serv() u = rand() if u < 0.2 then nq = 1 elseif u < 0.5 nq = 2 else nq = 3 end endfunction [m1,m2,m3,t_rm] = texecute(Q1,Q2,Q3) Q=[Q1;Q2;Q3] Qt=[0,0,0] Qt=gsort(Q,'r','i') total=0; for i=1:length(Q(:,1)) Qt(i,2)=total; [a,b]=find(Q(:,1)==Qt(i,1),1); increment=Q(a,3); Qt(i,3)=increment; total=total+increment end plot2d(Qt(:,1), Qt(:,2), style = 5) legend("Serveur 1","Serveur 2","Serveur 3")
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Example25_8.sce
// A Texbook on POWER SYSTEM ENGINEERING // A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar // DHANPAT RAI & Co. // SECOND EDITION // PART II : TRANSMISSION AND DISTRIBUTION // CHAPTER 18: POWER DISTRIBUTION SYSTEMS // EXAMPLE : 18.8 : // Page number 442-443 clear ; clc ; close ; // Clear the work space and console // Given data V = 440.0 // Voltage between outer(V) I_pos = 210.0 // Ligting load current on positive side(A) I_neg = 337.0 // Ligting load current on negative side(A) I_power = 400.0 // Power load current(A) P_loss = 1.5 // Loss in each balancer machine(kW) // Calculations P = I_power*V/1000.0 // Power(kW) load_pos = I_pos*V*0.5/1000.0 // Load on positive side(kW) load_neg = I_neg*V*0.5/1000.0 // Load on negative side(kW) loss_total = 2*P_loss // Total loss on rotary balancer set(kW) load_main = P+load_pos+load_neg+loss_total // Load on main machine(kW) I = load_main*1000/V // Current(A) I_M = I-610.0 // Current through balancer machine(A) I_G = 127.0-I_M // Current through generator(A) output_G = I_G*V*0.5/1000.0 // Output of generator(kW) input_M = I_M*V*0.5/1000.0 // Input to balancer machine(kW) // Results disp("PART II - EXAMPLE : 18.8 : SOLUTION :-") printf("\nLoad on the main machine = %.2f kW", load_main) printf("\nOutput of generator = %.2f kW", output_G) printf("\nInput to balancer machine = %.2f kW", input_M)
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//page 93 clear; close; clc; disp('Here,the vector v1 by itself is linearly independent , but it fails to span R2.The three vectors v1,v2,v3 certainly span R2, but are not independent. Any two of these vectors say v1 and v2 have both properties -they span and they are independent.So they form a basis.(A vector space does not have a unique basis)') //end
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//Solved Example 8: //Checking for the equality of 2 rational numbers by reducing them function[]=equal(x1,x2,x3,x4) rational1=struct('numerator',x1,'denominator',x2) rational2=struct('numerator',x3,'denominator',x4) y=0 if(rational1.numerator>rational1.denominator) a=rational1.numerator; b=rational1.denominator; else a=rational1.denominator; b=rational1.numerator; end while(b~=0) rem=modulo(a,b); a=b; b=rem; end y=struct('numerator',x1/a,'denominator',x2/a); y1=0 if(rational2.numerator>rational2.denominator) a=rational2.numerator; b=rational2.denominator; else a=rational2.denominator; b=rational2.numerator; end while(b~=0) rem=modulo(a,b); a=b; b=rem; end y1=struct('numerator',x3/a,'denominator',x4/a); if(y==y1) disp("Equal") break; else disp("Not Equal") break; end endfunction x1=5; x2=7; x3=35; x4=49; equal(x1,x2,x3,x4);
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//To find the velocity clc //Given: NAO=600 //rpm OA=28/1000,BD=46/1000 //m //Solution: //Refer Fig. 7.10 //Calculating the angular velocity of crank AO omegaAO=2*%pi*NAO/60 //rad/s //Calculating the velocity of A with respect to O vAO=omegaAO*OA //m/s vA=vAO //By measurement from the velocity diagram, Fig. 7.10(b), vD=1.6,vDB=1.7 //m/s //Calculating the angular velocity of D with respect to B omegaBD=vDB/BD //rad/s //Results: printf("\n\n The velocity of the slider D, vD = %.1f m/s.\n",vD) printf(" The angular velocity of the link BD, omegaBD = %.2f rad/s, clockwise sbout B.\n\n",omegaBD)
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//Exa 2.19 clc; clear; close; //Given data : VCC=20;//in volt VBE=0.7;//in volt(For Si) Beta=50;//unitless RE=200;//in ohm R1=60;//in kohm R2=30;//in kohm V2=VCC*R2/(R1+R2);//in volt VEO=V2-VBE;//in volt disp(VEO,"Voltage across RE in volt : ");
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//ques5 clear clc disp('Here c^2=1 , h=1/3 , k=1/36 , therefore t=(c^2)*k/(h^2)=1/4'); disp('So bendre-schmidits recurrence relation ie u(i)(j+1)=1/4(u(i-1)(j)+u(i+1)(j)+2u(i,j)'); disp('Now since u(0,t)=0=u(1,t) therefore u(0,i)=0 and u(1,j)=0 and u(x,0)=sin(%pi)x'); c=1; h=1/3; k=1/36; t=(c^2)*k/(h^2); A=ones(9,9); for i=1:9 for j=1:9 A(1,i)=0; A(2,i)=0; A(i,1)=sin(%pi/3*(i-1)); end end //A(2,1)=0.866; //A(3,1)=0.866; for i=2:8 for j=2:8 // A(i,j)=1/4*(A(i-1,j-1)+A(i+1,j-1)+2*A(i-1,j-1)); A(i,j)=t*A(i-1,j-1)+t*A(i+1,j-1)+(1-2*t)*A(i-1,j-1); end end for i=2:8 j=2; disp(A(i,j)); end
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clc // initialization of variables clear P=120 //kN b1=120 //mm b2=120 //mm h1=48 //mm h2=24 //mm P=P*10^3 A=h1*b1+b2*h2 R=(b1*h1*96+b2*h2*180)/A Am=b1*log(b1/72)+h2*log(240/b2) r=72 Mx=364*P S_thB=P/A+(Mx*(A-r*Am))/(A*r*(R*Am-A)) r1=120 //mm t=24 //mm A1=h1*r1 Am1=r1*log(r1/r) S_rr=(A*Am1-A1*Am)*Mx/(t*r1*A*(R*Am-A)) printf('Circumferential stress is %.1f MPa',S_thB) printf('\n Radial stress is %.1f MPa',S_rr)
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clear; clc; d = 6;//inches b = 3/4;//inch P = 18;//tons e = 1/8;//inch A = b*d;//sq.in M = P*e;//ton-in Z = (1/6)*b*d^2;//in^3 p_0 = P/A;// tons/in^2 p_b = M/Z;// ton/in^2 p_max = p_0+p_b;// tons/in^2 p_min = p_0-p_b;// tons/in^2 printf('p_max = %.1f tons/in^2.,tensile\n p_min = %.1f tons/in^2.,tensile',p_max,p_min);
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// To calculate current in each branch of the given network. clc; clear; // Refer diagram (a) in the book R1=6;// one of the resistance between a and b R2=3;// one of the resistance between a and b R3=8;// resistance between c and a R4=15;// resistance in the middle branch R5=4;// resistance between d and e V=40; Rab=(R1*R2)/(R1+R2);// Effective resistance between a and b Rcb= Rab+R3;// Effective resistance of the top branch between c and b Reff=(Rcb*R4)/(Rcb+R4); Rt=Reff+R5; I=V/Rt; I1=I*(Rcb/(Rcb+R4)); I2=I*(R4/(Rcb+R4)); I3=I2*(R2/(R1+R2)); I4=I2*(R1/(R1+R2)); disp('amperes',I,'The current through 4 ohm resistor =') disp('amperes',I1,'The current through 15 ohm resistor =') disp('amperes',I2,'The current through 8 ohm resistor =') disp('amperes',I4,'The current through 3 ohm resistor =') disp('amperes',I3,'The current through 6 ohm resistor =')
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// Example 2.40 page no-127 clear clc T=301.6 vt=T*1000/11600 vf=50 //mV vr=-50 //mV k=(%e^(vf/vt)-1)/(%e^(vr/vt)-1) printf("\nratio=%.2f\nNegative sign is oecause, the direction of \ncurrent is opposite when the diode is reverse biased",k)
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// 08.09.10 function Out=CuspPt() global CUSPPT Out=CUSPPT; endfunction;
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Iarated=100;Vt=100; Ra=0.1; Ia1=200; Ia = 25; Iastart=Vt/Ra Rae=(Vt-20)/(200) Ea2=Vt-Iarated*(Ra+Rae) Rae2=(Vt-Ea2-20)/(200) Ea3=Vt-Ia*(Ra+Rae2) Ea3=Vt-Iarated*(Ra+Rae2) Rae3=(Vt-Ea3-20)/200 Ea4=Vt-Iarated*(Ra+Rae3) Rae4=(Vt-Ea4-20)/200 Ia=(Vt-Ea4)/Ra R1=Rae-Rae2 R2=Rae2-Rae3 R3=Rae3-Rae4
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//==================================================================== // Exercise 3: Short Surface Gravity Waves // Animation of equivalent vertical displacements of pressure surfaces //==================================================================== // Author: Jochen Kaempf, March 2015 (update) f = gcf(); f.color_map = jetcolormap(64); f.figure_size = [700,400]; scf(0) // read input data eta1=read("eta.dat",-1,101); dp1=read("dp.dat",-1,101); [ntot nx] = size(eta1); x = (0:5:500)'; for n = 1:100// animation loop time = n; // time in seconds //grab data blocks itop = (n-1)*51+1; ibot = itop+50; dp = dp1(itop:ibot,1:101)'; eta = eta1(n,1:101)'; drawlater; clf; // draw graphs plot2d(x,5*eta,5); p1=gce(); p1.children.thickness=2; for i = 1:26 plot2d(x,5*dp(:,i)+1-i*2,2,)//'019','',[0 -40 500 10],[1,6,1,6]); p2=gce(); p2.children.thickness=1; end; a = gca(); a.font_size = 3; a.data_bounds = [0,-40;500,10]; a.auto_ticks = ["off","off","on"]; a.sub_ticks = [3,3]; a.x_ticks = tlist(["ticks", "locations","labels"],.. [0 100 200 300 400 500], ["0" "100" "200" "300" "400" "500"]); a.y_ticks = tlist(["ticks", "locations","labels"],.. [-40 -30 -20 -10 0 10], ["-40" "-30" "-20" "-10" "0" "10"]); title("Time = "+string(int(time))+" seconds","fontsize",4); // draw title xstring(234, -38,"x (m)"); // draw x label txt=gce(); txt.font_size = 4; xstring(2, -22,"z (m)"); // draw z label txt=gce(); txt.font_size = 4; drawnow; // save frames as sequential GIF files //if n < 10 then // xs2gif(0,'ex100'+string(n)+'.gif') //else // if n < 100 then // xs2gif(0,'ex10'+string(n)+'.gif') // else // xs2gif(0,'ex1'+string(n)+'.gif') // end //end end // end reference for animation loop
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function[mostProbableStatePath, positionsStatesMatrix] = viterbi(... sequence, ... transitionMatrix, ... emissionMatrix) // Author: Benjamin Fradet exec('makeViterbiMatrix.sci', -1); viterbi = makeViterbiMatrix(sequence, transitionMatrix, emissionMatrix); // finds the state with the highest probability [m mostProbableStatePath] = max(viterbi, 'c')'; prevMostProbableState = mostProbableStatePath(1); startPos = 1; idx = 1; for i = 2:length(sequence) mostProbableState = mostProbableStatePath(i); if mostProbableState ~= prevMostProbableState positionsStatesMatrix(idx, :) = ... [prevMostProbableState, startPos, i - 1]; startPos = i; idx = idx + 1; end prevMostProbableState = mostProbableState; end positionsStatesMatrix(idx, :) = [prevMostProbableState, startPos, i]; endfunction
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clc //initialisation of variables d=1000//m h=60//min //CALCULATIONS V=d/h*(2/3)//m/min //RESULTS printf('The unit of velocity =% f m/min',V)
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//Example 2_12 clc; clear;close; //Given data: Vs=230;//V f=50;//Hz alfa=90;//degree //Solution : Vm=Vs*sqrt(2);//V Vdc=Vm/%pi*(1+cosd(alfa))//V disp(Vdc,"Vdc in V"); Vrms=Vm/sqrt(2)*sqrt(1/%pi*[%pi-%pi/2+sin(%pi)/2]);//V disp(Vrms,"Vrms in V"); Is_by_I=sqrt(1-%pi/2/%pi); Is1_by_I=2*sqrt(2)/%pi*cos(%pi/4); HF=sqrt((Is_by_I/Is1_by_I)^2-1);//unitless disp(HF,"Harmonic factor"); theta1=-alfa/2*%pi/180;//radian DF=cos(theta1);//unitless disp(DF,"Displacement factor"); PF=(Is1_by_I/Is_by_I)*DF;//lagging disp(PF,"Power factor(lagging)");
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//Example 5.3 // resistance of the heater element clc; clear; close; w=15;// in kg t1=15;// in degree celsius t2=100;//in degree celsius t=25;// time in minutes I=10;// in ampere n=85;//efficiency of conversion in percentage ho=w*(t2-t1);//output heat required in kcal R=((ho*4187*100)/(I^2*t*60*n));// resistance in ohms disp(R,"resistance in ohms")
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clear;lines(0); u=file('open',TMPDIR+'/foo','unknown') for k=1:4 a=rand(1,4) write(u,a) end file('rewind',u) x=read(u,2,4) file('close',u) // file('close',file() ) //closes all opened files (C or Fortran type). // [units,typs,nams]=file()
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clear // // //Initilization of Variables K=5 //N/mm //Stiffness L=100 //mm //Solid Length q_s=60 //N/mm**2 //Max shear stress W=200 //N //Max Load G=80*10**3 //N/mm**2 //Calculations //K=W*dell**-1 //After substituting values and further simplifying we get //d=0.004*R**3*n ........(1) //mm //Diameter of wire //n=L*d**-1 ........(2) //From Shearing stress //q_s=16*W*R*(%pi*d**3)**-1 //After substituting values and further simplifying we get //d**4=0.004*R**3*n .................(4) //From Equation 1,2,3 //d**4=0.004*(0.0785*d**3)**3*100*d**-1 //after further simplifying we get d=5168.101**0.25 n=100*d**-1 R=(d**4*(0.004*n)**-1)**0.3333 //Result printf("\n Diameter of Wire is %0.2f mm",d) printf("\n No.of turns is %0.2f ",n) printf("\n Mean Radius of spring is %0.2f mm",R)
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stereoCalibrateAndRect.sci
// Copyright (C) 2015 - IIT Bombay - FOSSEE // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // Author: Siddhant Narang // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in function params = stereoCalibrateAndRect(objectpoints, imagepoints1, imagepoints2, imageSize, varargin) // This function returns a set of transformation matrices which helps to callibrate camera // and also rectify the images taken by the camera. // // Calling Sequence // params = stereoCalibrateAndRect(objectpoints, imagepoints1, imagepoints2, imageSize) // // Parameters // objectpoints: Vector of vectors of the calibration pattern points. // imagepoints1: Vector of vectors of the projections of the calibration pattern points, observed // by the first camera. // imagePoints2: Vector of vectors of the projections of the calibration pattern points, observed // by the second camera. // imageSize: Size of the image used only to initialize intrinsic camera matrix. // Returns: A struct with the following values<itemizedlist><listitem><para> cameraMatrix1 </para></listitem><listitem><para> distortionCoefficients1 </para></listitem><listitem><para> cameraMatrix2 </para></listitem><listitem><para> distortionCoefficients2 </para></listitem><listitem><para> rotationMatrix </para></listitem><listitem><para> TranslationVector </para></listitem><listitem><para> DepthMap </para></listitem><listitem><para> ProjectionMatrix1 </para></listitem><listitem><para> ProjectionMatrix2 </para></listitem></itemizedlist> // // // Description // The function estimates transformation between two cameras making a stereo pair and also // computes the rotation matrices for each camera that (virtually) make both camera image // planes the same plane. Consequently, this makes all the epipolar lines parallel and thus // simplifies the dense stereo correspondence problem // // Examples // stacksize("max"); // img_1 = imread("images/left1.jpg", 0); // img_2 = imread("images/right1.jpg", 0); // w1 = genCheckerboardPoints([10, 7], 8); // ip1 = detectCheckerboardCorner(img_1, [7, 10]); // ip2 = detectCheckerboardCorner(img_2, [7, 10]); // ip1l = list(ip1); // ip2l = list(ip2); // op = stereoCalibrateAndRect(w1, ip1l, ip2l, size(img_1)); // [map map1] = disparity(img_1, img_2); // img = reconstructScene(op.DepthMap, map1, 1); // // See also // imread // genCheckerboardPoints // detectCheckerboardCorner // disparity // reconstructScene // // Authors // Siddhant Narang [lhs rhs] = argn(0); if lhs > 1 error(msprintf("Too many output arguments\n")); elseif rhs > 8 error(msprintf("Too many input arguments, maximum number of arguments is 7\n")); elseif rhs < 4 error(msprintf("The function needs atleast 3 arguments\n")); end if rhs == 4 [a b c d e f g h i] = raw_stereoCalibrateAndRect(objectpoints, imagepoints1, imagepoints2, imageSize); elseif rhs == 5 [a b c d e f g h i] = raw_stereoCalibrateAndRect(objectpoints, imagepoints1, imagepoints2, imageSize, varargin(1)); elseif rhs == 6 [a b c d e f g h i] = raw_stereoCalibrateAndRect(objectpoints, imagepoints1, imagepoints2, imageSize, varargin(1), varargin(2)); elseif rhs == 7 [a b c d e f g h i] = raw_stereoCalibrateAndRect(objectpoints, imagepoints1, imagepoints2, imageSize, varargin(1), varargin(2), varargin(3)); elseif rhs == 8 [a b c d e f g h i] = raw_stereoCalibrateAndRect(objectpoints, imagepoints1, imagepoints2, imageSize, varargin(1), varargin(2), varargin(3), varargin(4)); end params = struct('cameraMatrix1', a, 'distortionCoefficients1', b, 'cameraMatrix2', c,'distortionCoefficients2', d, 'rotationMatrix', e, 'TranslationVector', f, "DepthMap", g, "ProjectionMatrix1", h, "ProjectionMatrix2", i); endfunction
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//Optical Fiber communication by A selvarajan //example 5.1 //OS=Windows XP sp3 //Scilab version 5.5.1 clc; clear all; //given optical_power=10*10^-6//optical power in W R=0.5//Responsivity in A/W Is=optical_power*R//shot noise current in A Id=2*10^-9//dark current in A Rl=1e6//Load resistance in ohm B=1e6//bandwidth in Hz T=300//Temperature in K K=1.38*10^-20//Boltzman constant in m2 g s-2 K-1 q=1.609*10^-19//charge of a electron in Coulombs Ith=4*K*T*B/Rl//Mean Square Thermal noise current in A SNR=(Is^2)/(2*q*(Is+Id)+Ith)//Signal to noise ratio mprintf("Thermal noise current=%f*10^-18A",Ith*10^18) mprintf("\nShot noise current=%f*10^-6A",Is*10^6) mprintf("\nSignal to noise ratio=%fdB",10*log10(SNR))//The answers vary due to round off error
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clc //initialisation of variables P1= 2000 //in^3 T= 80 //F T1= 250 //F //CALCULATIONS P2= (P1+14.7)*(460+T1)/(T+460) P3= P2-14.7 //RESULTS printf ('guage pressure = %.f psi',P3)
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//Eg-4.14 //pg-179 clear clc deff('[z]=f(x)','z=4*x^3+3*x^2+2*x+1'); deriv=0; a=[1 2 3 4]; F5=feval(5,f); F=a(4); x=5; for i=1:3 deriv=deriv*x+F; F=F*x+a(4-i); end printf('The value of the function at x = 5 is %f\n',F5) printf(' The value of the derivative of the function at x = 5 is %f\n',deriv)
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// Creates an edge list from a diagram objects list. // An edge is a tuple which elements are: source sink block event_source etc. function graph = makeGraph(objs, link_list) graph = tlist(['graph', 'edge', 'node'], list(), list()) [edge_list, node_count] = makeEdgeList(objs, link_list) node_list = list() for i = 1:node_count node_list(i) = tlist(['node', 'source_list', 'sink_list', 'convergent_edge', 'divergent_edge'], list(), list(), list(), list()) end source_list = list() sink_list = list() for e = edge_list if e.source == list() then source_list($+1) = e continue end if e.sink == list() then sink_list($+1) = e continue end source = zeros(length(e.source), 2) for i = 1:length(e.source) source(i, 1:2) = e.source(i) end sink = zeros(length(e.sink), 2) for i = 1:length(e.sink) sink(i, 1:2) = e.sink(i) end graph.edge($+1) = createBlockTypeEdge(e.obj_index, source, sink) end for e = 1:length(graph.edge) for s = graph.edge(e).source' node_list(s(1)).divergent_edge($+1) = [e, s(2)] end for s = graph.edge(e).sink' node_list(s(1)).convergent_edge($+1) = [e, s(2)] end end for source_edge = source_list for source = source_edge.sink node_list(source(1)).source_list($+1) = [source_edge.obj_index, source(2)] //for e = 1:length(node_list(source(1)).divergent_edge) // node_list(source(1)).divergent_edge(e)(2) = source(2) //end end end for sink_edge = sink_list for sink = sink_edge.source node_list(sink(1)).sink_list($+1) = [sink_edge.obj_index, sink(2)] //for e = 1:length(node_list(sink(1)).convergent_edge) // node_list(sink(1)).convergent_edge(e)(2) = sink(2) //end end end for n = node_list divergent_edge = zeros(length(n.divergent_edge), 2) for i = 1:length(n.divergent_edge) divergent_edge(i,:) = n.divergent_edge(i) end convergent_edge = zeros(length(n.convergent_edge), 2) for i = 1:length(n.convergent_edge) convergent_edge(i,:) = n.convergent_edge(i) end source = zeros(length(n.source_list), 2) for i = 1:length(n.source_list) source(i,:) = n.source_list(i) end sink = zeros(length(n.sink_list), 2) for i = 1:length(n.sink_list) sink(i,:) = n.sink_list(i) end graph.node($+1) = tlist(['node', 'source', 'sink', 'convergent_edge', 'divergent_edge'], ... source, sink, convergent_edge, divergent_edge) end endfunction function [edge_list, node_count] = makeEdgeList(objs, link_list) edge_list = list() current_node = 0; for l = link_list obj = objs(l) current_node = current_node + 1; //mprintf('linking from %d to %d\n', obj.from(1), obj.to(1)) out_port = obj.from block_id = out_port(1); block = objs(block_id); // Find an edge which has no sink and attach to current node // If not found, create a new edge without source connected to current node found = %f for e = 1:length(edge_list) edge = edge_list(e); if edge.obj_index <> block_id then continue; end edge_list(e).sink = lstcat(edge.sink, [current_node, out_port(2)]) found = %t break; end if ~found then edge_list($+1) = createBlockTypeEdge(block_id, list(), ... list([current_node, out_port(2)])) end //******** sink block ********* in_port = obj.to block_id = in_port(1); block = objs(block_id); found = %f; for e = 1:length(edge_list) edge = edge_list(e); if edge.obj_index <> block_id then continue; end edge_list(e).source = lstcat(edge.source, [current_node, in_port(2)]) found = %t; break; end if ~found then edge_list($+1) = createBlockTypeEdge(block_id, list([current_node, out_port(2)]), list()) end end node_count = current_node; //edge_list = mergeEdges(edge_list) not used, implicitly merged endfunction function edge_list = mergeEdges(from_edge_list) if typeof(from_edge_list) <> 'list' then error('megeEdges: invalid type') end edge_list = from_edge_list for i = 1:length(edge_list) if isequal(edge_list(i), 'deleted') then continue end for j = i+1:length(edge_list) if isequal(edge_list(j), 'deleted') then continue end if edge_list(j).block_id <> edge_list(i).block_id then continue end edge_list(i).source = lstcat(edge_list(i).source, from_edge_list(j).source) edge_list(i).sink = lstcat(edge_list(i).sink, from_edge_list(j).sink) edge_list(i).in_port = lstcat(edge_list(i).in_port, from_edge_list(j).in_port) edge_list(i).out_port = lstcat(edge_list(i).out_port, from_edge_list(j).out_port) edge_list(j) = 'deleted' end end for i = 1:length(edge_list) if isequal(edge_list(i), 'deleted') then edge_list(i) = null() end end endfunction function [transfer_edges, inout_edges] = separateInOutEdges(edge_list) inout_edges = list() transfer_edges = list() for edge = edge_list if edge.source == list() | edge.sink == list() then inout_edges($+1) = edge else transfer_edges($+1) = edge end end endfunction function name = getBlockName(block) name = block.gui endfunction function edge = createBlockTypeEdge(obj_index, source, sink) edge = tlist(['block-edge', 'obj_index', 'source', 'sink'], ... obj_index, source, sink); endfunction function event_source = makeEventSource(block) event_source = block.model; endfunction
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clear; clc; //Example - 11.6 //Page number - 390 printf("Example - 11.6 and Page number - 390\n\n"); //This problem involves proving a relation in which no mathematics and no calculations are involved. //For prove refer to this example 11.6 on page number 390 of the book. printf(" This problem involves proving a relation in which no mathematics and no calculations are involved.\n\n"); printf(" For prove refer to this example 11.6 on page number 390 of the book.")
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// Exa 4.21 clc; clear; close; format('v',5) // Given data g_m = 2500;// in µS g_m = g_m * 10^-6;// in S R_L = 12;// in k ohm R_L = R_L * 10^3;// in ohm //Av = -g_m*(r_d||R_D||R_L); Av = -g_m*R_L; disp(Av,"The voltage gain is");
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//Given: For model A, material(m) cost(c)=4$,labour(l) 5$,profit(p) 5$.For model B, m=3$, l=9$,p=6$.Altogether 240$ for m and 450$ for l. clc; clear; clf(); //let a is number of model A and b for model B to be made //constraints on m & l as pair of ineqalities 4a+3b<=240,5a+9b<=450.maximize the profit 5a+6b a=linspace(1,100,10); b=(240-4*a)/3; plot2d(a,b,3); b=(450-5*a)/9; plot2d(a,b,5); //find the point in this region where 5a+6b is greatest with the parallel lines concept //consider the parallel lines 5a+6b=100 , 5a+6b=150 , 5a+6b=300 ... the 2nd two are shown on graph \n"); b=(150-6*a)/5; plot(a,b,'b--.x'); b=(300-6*a)/5; plot(a,b,'b--.o'); // as profit gets larger, profit line moves up to the right a=39;b=28; m=5*a+6*b; mprintf('\n the maximimum profit %i occurs at (%i,%i) \n',m,a,b); xtitle("Model A vs. Model B ","Model A","Model B"); xgrid; legend("4a+3b<=240","5a+9b<=450","5a+6b=150","5a+6b=300");
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// Ex13_3 Page:259 (2014) clc;clear; mu_0 = 4*%pi*1e-007; // Magnetic permeability, H/m e = 1.6e-019; // Charge on an electron, C m = 9.1e-031; // Mass of an electron, kg Z = 1; // Atomic number of the material a = 2.55e-010; // Lattice constant of cubic structure, m chi_dia = -5.6e-006; // Diamagnetic susceptibility of the material N = 2/a^3; // Number of atoms per unit volume of the material, per metre-cube r_bar = sqrt(abs(chi_dia)*6*m/(mu_0*Z*e^2*N)); // Radius of an atom of the material, m printf("\nThe radius of an atom of the material = %5.3f angstrom", r_bar/1e-010); // Result // The radius of an atom of the material = 0.888 angstrom
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//clc() N = 100;//moles ( Basis - Fresh feed ) Pconv = 20;//% xco = 0.33; xh2 = 0.665; xch4 = 0.005; //R - recycle stream, P - purge stream //x - mole fraction of CO in recycle stream , xch4r = 0.03; //CO = x, H2 = 1 - xch4r - CO = 0.97- x; //methane balance over the entire system, P = xch4 * N / xch4r; //taking caron balance, 33.5 = M + P ( 0.03 + x ) //Hydrogen balance, 66.5 + 2*0.5 = 2M + P(2*0.03 + 0.97 - x) //substituting P, M + 16.67x = 33.0 and 2M - 16.67x = 50.33 M = (33.0 + 50.33)/3; x = ((xco + xch4)*N - M ) / P - xch4r; //methanol balance,(xco*N+Rx) * Poncv/100 = M R = (M*100 / Pconv - (xco*N))/x; disp("mol",R,"(a)moles of recycle stream = ") disp("mol",P,"(b)moles of purge stream = ") H2 = 1 - xch4r - x; disp("%",xch4r*100,"(c)CH4 in purge stream = ") disp("%",x*100,"CO in purge stream = ") disp("%",H2*100,"hydrogen in purge stream = ") disp("mol",M,"(d)Methanol produced = ")
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function [x,y,typ]=tanh_block(job,arg1,arg2) // Copyright INRIA x=[];y=[];typ=[]; select job case 'plot' then standard_draw(arg1) case 'getinputs' then [x,y,typ]=standard_inputs(arg1) case 'getoutputs' then [x,y,typ]=standard_outputs(arg1) case 'getorigin' then [x,y]=standard_origin(arg1) case 'set' then x=arg1; graphics=arg1.graphics;exprs=graphics.exprs model=arg1.model; while %t do [ok,in,out,xx,rpar,exprs]=getvalue('Set TANH NEW block parameters',.. ['Number of input ports or vector of sizes';.. 'no of o/ps';'State';'Tau'],.. list('vec',-1,'vec',-1,'vec',-1,'vec',1),exprs) if ~ok then break,end if in<1|in>31 then message('Block must have at least one input port and at most 31') ok=%f else it=-ones(in,1) ot=-ones(out,1) inp=[-[1:in]',ones(in,1)] oup=[-[1:out]',ones(out,1)] model.rpar = rpar model.state = xx [model,graphics,ok]=set_io(model,graphics,... list(inp,it),... list(oup,ot),[],[]) end if ok then graphics.exprs=exprs; x.graphics=graphics;x.model=model break end end case 'define' then in=1 out=1 state= 0 tau = 60e-6 model=scicos_model() model.sim=list('tanh_func',5) model.in=-[1:in]' model.intyp=-ones(in,1) model.out=-[1:out]' model.outtyp=-ones(out,1) model.rpar = tau model.state= state model.nzcross=1; model.blocktype='c' model.dep_ut=[%t %t] exprs=[sci2exp(in) ; sci2exp(out); sci2exp(state) ; sci2exp(tau)] gr_i=['txt=''TANH '';';'xstringb(orig(1),orig(2),txt,sz(1),sz(2),''fill'')'] x=standard_define([5 2],model,exprs,gr_i) end endfunction
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# notany.tst >>> import sys >>> import pyke >>> import os >>> new_path = os.path.join(os.path.dirname(os.path.dirname(pyke.__file__)), ... 'examples/notany') >>> sys.path.append(new_path) >>> import driver >>> driver.fc_test() egon has no uncle ralf has no uncle anton has no uncle elisabeth has no uncle karin has no uncle sabine has no uncle anton has no aunt elisabeth has no aunt karin has no aunt sabine has no aunt >>> driver.bc_test() anton has no aunt elisabeth has no aunt karin has no aunt sabine has no aunt egon has no uncle ralf has no uncle anton has no uncle elisabeth has no uncle karin has no uncle sabine has no uncle
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clc H2=0.5; //m H1=2; //m A=4; //m^2 f=0.005; L=20; //m d=0.025; //m g=9.81; // m/s^2 a=%pi*d^2/4; t=integrate('-A*sqrt((4*f*L/d)+2.5)/a/(sqrt(2*g))*(H)^(-1/2)', 'H', H1, H2); disp("Time taken =") disp(t) disp("s")
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//#define STARTDEVICE // OK //#define TESTTHREADS // OK #define TESTDISTRIBDEVICE OK //#define TESTSCRATCH // NOT WORKING //#define DISTRIBPOS //#define OFFSET //#define TESTAGG //#define PSCRATCHTEST #define TESTDISVAL #define DISTRIBVAL #define TESTSIMU
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clc //Chapter8 //Example8.2, page no 314 //Given v=3e8// velocty of light f=1.2e6// Operating Freq lambda=v/f //disp(lambda) l=100// length of the Tx-Line phi=2*(%pi*l)/(lambda)// Phase shift in degrees Zo=500// Characteristic impedance //a Open circuited Line Zin=-%i*Zo*(cos(phi)/sin(phi)) //b Short circuited Line Z1in=%i*Zo*tan(phi) mprintf('The phase shift is: %d degrees\n Open Circuited line impedance: -j%f ohms\n Short Circuited line impedance -j%f ohms',phi*180/%pi,-Zin*%i,Z1in*%i)
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//clear// clc clear exec("4__11.sci"); t = 0:1:500; function w=f(t,C) w =zeros(4,1); v = v0+v00*t; w(1)= -k*C(1)*C(2)-v00*C(1)/v; w(2) = -k*C(1)*C(2)+v00*(Cb0-C(2))/v; w(3) = k*C(1)*C(2)-v00*C(3)/v; w(4) = k*C(1)*C(2)-v00*C(4)/v; endfunction x=ode([.049;0;0;0],t0,t,f); l1=x(1,: )' l2=x(2,: )' l3=x(3,: )' for i = 1:length(t) rate(1,i)=k*x(1,i )*x(2,i) end scf(1) plot2d(t',[l1 l2 l3]); xtitle( 'Figure E4-11.1 Concentration-time trajectories', 't', 'Ca,Cb,Cc' ) ; legend(['Ca';'Cb';'Cc']); scf(2) plot2d(t,rate) xtitle( 'Figure E4-11.2 Reaction rate-time trajectories', 't', 'Reaction Rate(mols dm^3)' ) ; 'V
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clc //Initialization of variables z1=1 //in z2=2 //in z3=2 //in sOil=0.8 sWater=1 Pa=3 //psi //calculations Pd=(Pa) + (z2+z1)*sOil*62.4/144 + 62.4*z3/144 Fa=Pa*144*%pi*z3^2 Fb=sOil*62.4*(z2+z1-(z2+z3)*z2/((z2+z1)*%pi))*(%pi*z3^2 /2) Fc=sOil*62.4*(z2+z1)*(%pi*z3^2 /2) Fd=62.4*(z2+z3)*z2/((z2+z1)*%pi)*(%pi*z3^2 /2) F=Fa+Fb+Fc+Fd yPa=z2+z1 yCb=z2+z1-(z2+z3)*z2/((z2+z1)*%pi) ICb=%pi*(z2+z3)^4 /128 -0.5*%pi*z2^2 *((z2+z3)*z2/((z2+z1)*%pi))^2 yPb=yCb+ICb/(yCb*0.5*%pi*z2^2) yPc=z2+z1+ (z2+z3)*z2/((z2+z1)*%pi) ICd=ICb yPd=z2+z1 + (z2+z3)*z2/((z2+z1)*%pi) + ICb/((z2+z3)*z2/((z2+z1)*%pi)*0.5*%pi*z3^2 ) yP=(Fa*yPa+Fb*yPb+Fc*yPc+Fd*yPd)/F //Results printf('case 1') printf('\n Pressure at the bottom = %.1f psi',Pd) printf('\n case 2') printf('\n Net force = %d lb', F+3) printf('\n Location of net force= %.2f ft', yP)
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clc //Chapter5 //Ex_7 //Given Nd=10^15 //in cm^-3 Nc=2.8*10^19 //in cm^-3 Ti=556 // in Kelvin k=8.62*10^-5 //in eV/K delta_E=0.045 //in eV T=300 //in kelvin //part(a) disp("From fig 5.16 the estimated temperature above which the si sample behaves as if intrinsic is 556 Kelvin") //part(b) Ts=delta_E/(k*log(Nc/(2*Nd))) Nc_Ts=Nc*(Ts/T)^(3/2) disp(Ts,"Lowest temperature in kelvin is") //the improved temperature Ts=delta_E/(k*log(Nc_Ts/(2*Nd))) printf("Extrinsic range of Si is %f K to 556 K",Ts)
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//(Springs) Example 10.6 //Velocity of the railway wagon v (m/s) v = 1.5 //Mass of the wagon m (kg) m = 1500 //Spring compression delta (mm) delta = 150 //Spring index C C = 6 //Ultimate tensile strength of the spring material Sut (N/mm2) Sut = 1250 //Rigidity modulus of the material G (N/mm2) G = 81370 //For plain ends, endtype = 1 //For plain ends(ground), endtype = 2 //For square ends, endtype = 3 //For square ends(ground), endtype = 4 endtype = 4 //Number of springs n n = 2 //Gap between adjacent coils g (mm) g = 2
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<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="application/xhtml+xml;charset=UTF-8" /> <meta name="robots" content="noindex, nofollow" /> <link rel="stylesheet" title="common" type="text/css" href="stylesheet.css" /> <title>RaMath Main Page</title> </head> <body> <!-- area="rset", opt="" form1="%28a%2Bb%29%5E6" form2="a⁶ + 2¹3a⁵*b + 3¹5a⁴*b² + 2²5a³*b³ + 3¹5a²*b⁴ + 2¹3a*b⁵ + b⁶" rmap="{a=>a,b=>b}" --> <h2>ramath - Rational and Symbolic Mathematics</h2> <form action="servlet" method="get"> <input type = "hidden" name="view" value="upper" /> <table cellpadding="0" border="0"> <tr valign="top"> <td><strong>Area:</strong><br /> <select name="area" size="3"> <option value="rset" selected>Symbolic RelationSet</option> <option value="cfra">Continued Fraction</option> <option value="eecj">Euler's Extended Conjecture</option> </select> <br /> <br /> <strong>Options:</strong> <input name="opt" maxsize="100" size="12" value="" /> <br /><br /> </td> <td><strong>Variable Substitutions:</strong><br /> <table cellpadding="0" border="0"> <tr><td><input name="key0" type="hidden" value="a" />a-&gt;</td><td><input name="val0" size="20" maxsize="160" value="a" /></td></tr> <tr><td><input name="key1" type="hidden" value="b" />b-&gt;</td><td><input name="val1" size="20" maxsize="160" value="b" /></td></tr> </table> </td> </tr> <tr valign="top"> <td align="left" colspan="2"><strong>RelationSet:</strong><br /> <textarea name="form1" wrap="virtual" cols="100" rows="2">%28a%2Bb%29%5E6</textarea> </td> </tr> <tr valign="top"> <td align="left" colspan="2"> <input type="submit" value="Compute" /> with substitutions </td> </tr> </table> </form><!-- upper --> <form action="servlet" method="get"> <input type = "hidden" name="view" value="lower" /> <input type = "hidden" name="area" value="rset" /> <input type = "hidden" name="opt" value="" /> <input type = "hidden" name="form2" value="a⁶ + 2¹3a⁵*b + 3¹5a⁴*b² + 2²5a³*b³ + 3¹5a²*b⁴ + 2¹3a*b⁵ + b⁶" /> <table cellpadding="0" border="0"> <tr valign="top"> <td><span class="p1">1</span>a⁶ + <span class="p2">2</span>¹<span class="p3">3</span>a⁵*b + <span class="p3">3</span>¹<span class="p5">5</span>a⁴*b² + <span class="p2">2²</span><span class="p5">5</span>a³*b³ + <span class="p3">3</span>¹<span class="p5">5</span>a²*b⁴ + <span class="p2">2</span>¹<span class="p3">3</span>a*b⁵ + <span class="p1">1</span>b⁶<br />a^6 + 6*a^5*b + 15*a^4*b^2 + 20*a^3*b^3 + 15*a^2*b^4 + 6*a*b^5 + b^6</td> </tr> <tr valign="top"> <td align="left"> <input type="submit" value="Replace" /> input field </td> </tr> </table> </form><!-- lower --> <br /> See also: <a href="servlet?view=index">RaMath</a> Home<br /> <a title="wiki" href="http://www.teherba.org/index.php/RaMath" target="_new">Wiki</a> Documentation<br /> <a title="github" href="https://github.com/gfis/ramath" target="_new">Git Repository</a><br /> <a title="api" href="docs/api/index.html">Java API</a> Documentation<br /> <a title="manifest" href="servlet?view=manifest&lang=en">Manifest</a>, <a title="license" href="servlet?view=license&lang=en">License</a>, <a title="notice" href="servlet?view=notice&lang=en">References</a><br /> <!-- language="en", features="quest" --> <p><span style="font-size:small"> Questions, remarks: email to <a href="mailto:punctum@punctum.com?&subject=RaMath">Dr. Georg Fischer</a></span></p> </body></html>
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//Example 5.5: clc; clear; close; //given data : n=10;//turn ratio Rl=10;//ohm Rld=n^2*Rl;//in ohm Ic=100;//in mA Irms=Ic/(sqrt(2));//in mA P=Irms^2*Rld;//in W format('v',3) disp(P*10^-6,"maximum power output is ,(W)=")
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// Copyright (C) 2015 - IIT Bombay - FOSSEE // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // Author: Nihar Rao // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in function [homography_matrix]= findHomography(points1,points2,varargin) // This Function Finds a perspective transformation between two planes. // // Calling Sequence // homographyMatrix=findHomography(points1,points2); // homographyMatrix=findHomography(points1,points2,method); // homographyMatrix=findHomography(points1,points2,method,threshold); // // Parameters // homographyMatrix: perspective transformation H between the source and the destination planes // points1: Coordinates of the points in the original plane // points2: Coordinates of the points in the target plane // method: Method used to computed a homography matrix. // Here are the different options for method // 0 - a regular method using all the points // 4 - RANSAC-based robust method // 8 - Least-Median robust method // 16 - PROSAC-based robust method // threshold: Maximum allowed reprojection error to treat a point pair as an inlier. // Note: the number of points should be same in the points1 and points2 // Description // The function finds and returns the perspective transformation H between the source and the destination planes // //Examples // // read first image // z=imread("lena.jpeg",0); // get points from first image // yo=detectGFTTFeatures(z); // read second image // image=imread("lena2.jpg",0); // yo1=detectGFTTFeatures(image); // // call function with same number of points in both(first arg has 594 so passig 594 points from second arg) // lou=findHomography(yo.KeyPoints,yo1.KeyPoints(1:594,:)); [lhs rhs]=argn(0); if lhs>1 error(msprintf(" Too many output arguments")); elseif rhs>4 error(msprintf(" Too many input arguments,maximum number of arguments is 4")); elseif rhs<2 error(msprintf("the function needs atleast 2 arguments")); end if rhs==2 then homography_matrix=raw_findHomography(points1,points2); elseif rhs==3 homography_matrix=raw_findHomography(points1,points2,varargin(1)); elseif rhs==4 homography_matrix=raw_findHomography(points1,points2,varargin(1),varargin(2)); end endfunction
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clear; clc; // Stoichiometry // Chapter 7 // Combustion // Example 7.9 // Page 465 printf("Example 7.9, Page 465 \n \n"); // solution // using mean heat capacity data Table 7.21 // basis 100 kmol of dry flue gas H7 = 1.0875*100*30.31*(423.15-298.15) H71 = 3633.654*(423.15-298.15) fi7 = H71*3900*.7671/162.2 // kJ/h fi1 = 3.9*1000*26170 // kJ/h // performing heat balance Hsteamgen = 23546.07 eff = Hsteamgen*100/fi1 // overall efficiency rate printf("Overall efficiency rate = "+string(eff)+" percent.")
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//Модуль, реализующий метод контурных токов //В качестве параметров принимает контурную матрицу, матрицу сопротивлений ветвей, //матрицу ЭДС источников, матрицу источников тока. Возвращает матрицу контурных токов. //УПРОЩЁННЫЙ МКТ - ТОЛЬКО ДЛЯ ЦЕПЕЙ С ОДНИМ ИТ //В данном модуле введено представление для ИТ и ИН в виде [uc1 uc2 u1] ([il1 il2 i1]), //где u1/i1 - воздействие, uc1/il1 - реактивный элемент с меньшим номером ветви, //uc2/il2 - реактивный элемент с большим номером ветви. //Строка матрицы контурных токов представлена в виде [react1 react2 i1/u1], //где react1 - коэффициент при реактивном элементе с меньшим номером ветви, //react2 - коэффициент при реактивном элементе с большим номером ветви, //i1/u1 - воздействие. function LoopCurrent = MethodOfLoopCurrent(LoopMatrix, BranchResistance, EMFMatrix, CurrentMatrix) exec 'Matrix_Resistance.sci'; exec 'FindLoopEMF.sci'; exec 'FindUnknownLoopCurrent.sci'; //Вычисляем матрицу сопротивлений контуров Resistances = Matrix_Resistance(LoopMatrix, BranchResistance); //Находим матрицу-столбец сумм напряжений источников напряжений контуров EMFSumm = FindLoopEMF(LoopMatrix, EMFMatrix); //Проверяем, есть ли в цепи ИТ [rows columns] = size(CurrentMatrix); //Число контуров [Loops columns] = size(Resistances); Module = [0 0 0]; CurrentBranch = 0; for i=1:1:rows for j=1:1:3 Module(1, j) = Module(1, j) + abs(CurrentMatrix(i, j)); if CurrentMatrix(i, j) ~= 0 CurrentBranch = i; end; end; end; if Module == [0 0 0] //Цепь без ИТ //Решаем систему уравнений LoopCurrent = FindUnknownLoopCurrent(Resistances, EMFSumm); else //Цепь с ИТ LoopCurrent = zeros(Loops, 3); //Ищем контур, в котором найден ИТ RequiredLoop = 1; for i=1:1:Loops if LoopMatrix(i, CurrentBranch) == 1 RequiredLoop = i; break; end; end; //Третий контурный ток протекает через непреобразованный ИТ //и совпадает с ним по направлению LoopCurrent(RequiredLoop, :) = Module; //Находим взаимное сопротивление третьего и первого контуров R13 = 0; Choose = 1; if(Loops > 1) for i=1:1:2 if i == RequiredLoop continue; end; R13 = Resistances(RequiredLoop, i); Choose = i; break; end; end; //Находим взаимное сопротивление третьего и второго контуров if Loops > 2 R23 = 0; for i=(Choose + 1):1:Loops if i == RequiredLoop continue; end; R23 = Resistances(RequiredLoop, i); break; end; end; //Выбрасываем из матрицы сопротивлений строку и столбец //с номером контура, в котором ИТ Resistances(RequiredLoop, :) = []; Resistances(:, RequiredLoop) = []; //Выбрасываем из матрицы-столбца сумм напряжений источников напряжений //контуров контур с ИТ EMFSumm(RequiredLoop, :) = []; //Формируем правую часть уравнения if Loops > 2 Temp = [R13*Module; R23*Module]; else Temp = [R13*Module]; end; EMFSumm = EMFSumm - Temp; if(Loops > 1) //Решаем систему уравнений Temp = FindUnknownLoopCurrent(Resistances, EMFSumm); //Добавляем ток непреобразованного ИТ //Переформировываем матрицу if Loops == 2 if RequiredLoop == 2 LoopCurrent = [Temp; LoopCurrent(2, :)]; else LoopCurrent = [LoopCurrent(1, :); Temp]; end; else if RequiredLoop == 1 LoopCurrent = [LoopCurrent(1, :); Temp]; else if RequiredLoop == 2 LoopCurrent = [Temp(1, :); LoopCurrent(2, :); Temp(2, :)]; else LoopCurrent = [Temp; LoopCurrent(3, :)]; end; end; end; end; end; endfunction
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clear; clc; disp("--------------Example 20.9----------------") offset = 100; HLEN=5; total_length_field=100; // 100 bytes first_byte=offset*8; // formula header_bytes=HLEN*4; // formula data_bytes=total_length_field-header_bytes; // formula last_byte=first_byte+data_bytes-1; // formula printf("The first byte number is %d and the last byte number is %d.",first_byte,last_byte); // display result
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clear //Given v=-80.0 //cm //Calculation f=v P=100/f //Result printf("\n (a) Power of the lens is %0.3f D", P) printf("\n (b) No the corrective lens is concave and it reduces the size of the image. Because it bring the object at the far point of the eye") printf("\n (c) The myopic person may have a normal near point. He must keep the book at a distance greater than 25 cm.")
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//Example 7.13 //Newtons Backward Formula //Page no. 248 clc;close;clear; printf(' x\t y\t d\t d2\t d3\t d4\t d5\n') printf('--------------------------------------------------------') h=0.5; deff('y=f2(x)','y=(z(x,4)-z(x,5)+z(x,6))/h^2') z=[1.5,3.375;2,7;2.5,13.625;3,24;3.5,38.875;4,59]; for i=1:6 for j=3:7 z(i,j)=-1 end end for i=3:7 for j=1:8-i z(j,i)=z(j+1,i-1)-z(j,i-1) end end printf('\n') for i=1:6 for j=1:7 if z(i,j)==-1 then printf(' \t') elseif j==1 printf(' %.1f\t',z(i,j)) else printf('%.3f\t',z(i,j)) end end printf('\n') end j=1;y1=0; for i=3:6 y1=y1+(-1)^(i-1)*z(j,i)/(i-2) end y1=y1/h; y2(7)=f2(1); printf('\n\n f`(1.5)= %g',y1) printf('\n\n f``(1.5) = %g',y2(7))
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//Example 3.3 : Evaluating junction scaling constant //i-I_S*exp(v/(n*V_T)) implies I_S=i*exp(-v/(n*V_T)) n=1; i=10^-3; // (A) v=700; // (V) V_T=25; // (V) I_S=i*exp(-v/(n*V_T)) disp(I_S,"I_S (A) for n=1") n=2; I_S=i*exp(-v/(n*V_T)) disp(I_S,"I_S (A) for n=2") disp("These values implies I_S is 1000 times greater ")
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//Example 4.1 clc //use of several input output library functions //c,d are cahracter type variables //x, y float variables // i, j, k, int type variables printf("Enter character: ") c=scanf("%1c"); //character input printf("Enter folating point number: ") x=scanf("%f"); //floating-point input printf("Enter two numbers seperated by space: ") //enter i and j seperated by spaces [i, j]=scanf("%d %d"); //integer input disp(i ,j ,"j and i: ") //let d='a'; d='a'; disp(d); //character output k=33567; y=5678.71109; printf("k = %3d, y = %7.4f ", k, y); //numerical output
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//Example 6.4 //Program to c a l c u l a t e Twiddle f a c t o r exponent s f o r each s t a g e clc ; N =32; //Given // Ca l c u l a t i o n o f Twiddle f a c t o r exponent s f o r each s t a g e for m =1:5 disp (m, ' St a g e : m =' ); disp ( ' k =' ); for t =0:(2^(m -1) -1) k=N*t/2^m; disp(k); end end
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clear clc //to find fraction of molecules having speed in range 599-601m/s //Given: //temperature T = 300//in K //molar mass of oxygen M = 0.032//in Kg/mol //molar gas constant R = 8.31//in J/mol.K //velocity v = 600//in m/s //Solution: //fraction of molecules having speed in range 599-601m/s //difference in speed dv = 2//in m/s f = 4*%pi*((M/(2*%pi*R*T))^(3/2))*(v^2)*%e^((-M*(v^2)/(2*R*T)))*dv f1 = f*100//in percent printf ("\n\n Fraction of molecules having speed in range 599-601m/s f = \n\n %.1e" ,f); printf ("\n\n Percentage of molecules having speed in range 599-601m/s f = \n\n %.2f percent" ,f1);
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//Example 7.9 clc clear function [I] = simp13 (fun,a,b,n) // Integrate the function over the interval using Simpson's 1/3rd rule // simp13 (fun,a,b,n) // fun - function to be integrated // a - lower limit of integration // b - upper limit of integration // n - No. of times simpson's 1/3rd rule needs to be performed N = 2 * n + 1; // N - total no. of points h = (b-a) / (N-1); x = linspace(a,b,N); y = fun(x); sum1 = y(1) + 4 * sum(y(2:2:N-1)) + 2 * sum(y(3:2:N-2)) + y(N); I = h* sum1 / 3; // Simpson's 1/3rd Integral Value endfunction function [f] = fun1(x) f = sqrt(2/%pi)*exp(-x^2/2); endfunction h = 0.125; n = (1-0)/h; ns13 = n/2; I = simp13(fun1,0,1,ns13); I = round(I*10^4)/10^4; disp(I,"Integral value, I = ")
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//Definició de variables L1 = 0.62 L2 = 0.57 g1 = 0.1 g2 = 0.2 g3 = 0.3 x = 0.9 y = -0.2 gamma = 0 mL1 = 4 mL2 = 3 mEE = 2 //----------------------------------TOTES LES FUNCIONS-----------------------------------// // ----------------------Function inverse kinematics----------------------------// function[theta1,theta2,theta3] = EndEffectorPose2joinPosition(x,y,gamma) a12=L1 a23=L2 a34=g1 Rgamma = [cos(gamma), -sin(gamma);sin(gamma),cos(gamma)] xyprima=[x;y]-Rgamma*[0;-g2]-Rgamma*[g3;0] d = 2*a12*a23 f = (xyprima(1) - a34*cos(gamma))^2 + (xyprima(2) - a34*sin(gamma))^2 - (a12)^2 - (a23)^2 theta2 = acos(f/d) if theta2 > %pi then theta2 =2*%pi - theta2 end a = a12 + a23*cos(theta2) b = a23*sin(theta2) e = xyprima(1) - a34*cos(gamma) f = xyprima(2) - a34*sin(gamma) matriutheta1 = inv([a,-b; b, a])*[e;f] theta1 = atan(matriutheta1(2), matriutheta1(1)) if theta1 > %pi then theta1 =2*%pi - theta1 end theta3 = gamma -theta1 - theta2 endfunction // ----------------------EndEffectorPosition2VelAngular----------------------------// function[w1,w2,w3] = EndEffectorPosition2VelAngular(x,y,gamma, theta1,theta2,theta3) J = [0 , L1*sin(theta1), L1*sin(theta1)+L2*sin(theta1+theta2); 0 , -L1*cos(theta1), -L1*cos(theta1)-L2*cos(theta1+theta2); 1,1,1] velF=[0;-0.1;gamma] velW = inv(J)*velF w1 = velW(1) w2 = velW(2) w3 = velW(3) endfunction // ----------------------Plot3R----------------------------// function [] = Plot3R(theta1,theta2,theta3) // Càlcul de posicions de les joins J1x = 0; J1y = 0; J2x = L1*cos(theta1); J2y = L1*sin(theta1); J3x = J2x + L2*(cos(theta1 + theta2)); J3y = J2y + L2*(sin(theta1 + theta2)); P_g1x = J3x + g1*(cos(theta3 + theta2 + theta1)); P_g1y = J3y + g1*(sin(theta3 + theta2 + theta1)); P_g2x = P_g1x; P_g2y = P_g1y - g2; P_g3x = P_g2x + g3; P_g3y = P_g2y; //Plot 3R arm subplot(222) title("3R motion", "fontsize",3) a=get("current_axes") //eixos a.data_bounds = [-0.2,-1;1,0] // minx, miny, maxx, maxy a.axes_visible="on"; //Borrar anterior a = gca(); delete(a.children); //representació segments xsegs([J1x,J2x],[J1y,J2y],1:1); xsegs([J2x,J3x],[J2y,J3y],1:1); xsegs([J3x,P_g1x],[J3y,P_g1y],1:1); xsegs([P_g1x,P_g2x],[P_g1y,P_g2y],1:1); xsegs([P_g2x,P_g3x],[P_g2y,P_g3y],1:1); s = a.children s.thickness=5 endfunction // ----------------------Plot angular velocity----------------------------// function[] = PlotJvsW(w1,w2,w3,k) subplot(221) title("Joint speeds vs time", "fontsize",3) a=get("current_axes") //eixos a.data_bounds = [0,-0.25;105,0.4] // minx, miny, maxx, maxy plot2d(k,w1, 0) e = gce(); point = e.children(1); point.mark_mode="on"; point.mark_size =1; point.mark_foreground=2; plot2d(k,w2, 0); e = gce(); point = e.children(1); point.mark_mode="on"; point.mark_size =1; point.mark_foreground=3; plot2d(k,w3, 0); e = gce(); point = e.children(1); point.mark_mode="on"; point.mark_size =1; point.mark_foreground=4; hl=legend(['w1';'w2';'w3']) endfunction // ----------------------Plot wrench ----------------------------// function[] = PlotJ1W(k,fJ1,mJ1) subplot(223) title("Wrench for J1","fontsize",3) a=get("current_axes") //eixos a.data_bounds = [0,0;110,150] // minx, miny, maxx, maxy plot2d(k,fJ1,0) e = gce() point = e.children(1); point.mark_mode="on"; point.mark_size = 1; point.mark_foreground=2; plot2d(k,mJ1,0) e = gce() point = e.children(1); point.mark_mode="on"; point.mark_size = 1; point.mark_foreground=3; hl=legend(['F_J1','M_J1']) endfunction // ----------------------Càlcul wrench equivalent J1----------------------------// function[weq] = WeqJ1(theta1,theta2,theta3) j = [0,0,0;-1,-1,-1;-L1/2*cos(theta1),-L1*cos(theta1)-L2/2*cos(theta1+theta2),-L1*cos(theta1)-L2*cos(theta1+theta2)-(g1+g3/2)*cos(theta1+theta2+theta3)] f = [9.81*mL1;9.81*mL2;9.81*mEE] weq = -j*f endfunction //-----------------------------------------------------------------------------------// //-----------------------------------------------------------------------------------// //-----------------------------------------------------------------------------------// //----------------------------MAIN---------------------------------------------------// figure() clf() for k=1:100 //Inverse kinematics position [theta1,theta2,theta3] = EndEffectorPose2joinPosition(x,y,gamma); //Representació 3R Plot3R(theta1,theta2,theta3); //Cálcul vel angulars [w1,w2,w3] = EndEffectorPosition2VelAngular(x,y,gamma, theta1,theta2,theta3); //Plot Joint speeds vs time PlotJvsW(w1,w2,w3,k); //Afegir pes a l'EndEffector if((k==20)|(k==40)|(k==60)|(k==80)|(k==100)) then mEE = mEE+1; end //Càlcul wrench equivalent a J1 [weq] = WeqJ1(theta1,theta2,theta3); PlotJ1W(k,weq(2),weq(3)); y= y-0.005; //sleep(50); end
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funcprot(0) function [polar] = rect2polar(x,y) //Function to convert rectangular coordinates to polar coordinates polar=ones(1,2) polar(1)=sqrt((x^2)+(y^2)) polar(2)=atan(y/x) polar(2)=(polar(2)*180)/%pi endfunction clc //Refer to the data given in the question P=10.44*10^3 //Power in kWh Vl=200 //Line voltage pf=0.5 //Leading power factor Vph=Vl //For delta connected load //Since we have the value of active power,line voltage and power factor we can easily calculate the value of line current Il=P/(sqrt(3)*Vl*pf) printf("\n Il=%.2f A \n",Il) Iph=Il/sqrt(3) printf("\n Iph=%.1f A \n",Iph) Zph=Vph/Iph printf("\n Zph=%.2f ohms \n",Zph) Rph=Zph*pf printf("\n Rph=%.3f ohms \n",Rph) Xph=Zph*(sqrt(1-pf^2)) printf("\n Xph=%.2f ohms \n",Xph) Q=sqrt(3)*Vl*Il*sqrt(1-pf^2) printf("\n Q=%.2f kVAR \n",Q*10^-3)
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clear //Given A_1 = 0.125 //sq.in , The area of the crossection of AB A_2 = 0.219 //sq.in , The area of the crossection of BC l_1 = 3*(5**0.5) //in , The length of AB l_2 = 6*(2**0.5) //in , The length of BC p = 3 //k , Force acting on the system E = 10.6*(10**3) //ksi - youngs modulus of the material p_1 = (5**0.5)*p/3 //P, The component of p on AB p_2 = -2*(2**0.5)*p/3 //P, The component of p on AB e = p_1*l_1*p_1/(p*E*A_1) + p_2*l_2*p_2/(p*E*A_2) //in, By virtual deflection method printf("\n The deflection is %0.3f in",e)
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# -------------------------- Header Parameters -------------------------- scenario = "Face Perception N170"; active_buttons = 2; no_logfile = false; response_logging = log_active; response_matching = simple_matching; button_codes= 1, 2; target_button_codes = 9, 0; write_codes = true; pulse_width = 6; response_port_output = true; # ------------------------------- SDL Part ------------------------------ begin; #CONSTANTS $OFFSET_X = 350; $OFFSET_Y = 250; $CENTRE = 0; #Set default picture so can make it white later in PCL picture {} default; # ----------------------------- Stimuli ----------------------------- array { text {caption = "(Press Space to begin)"; font_size = 36; font_color = 0, 0, 0; background_color = 255, 255, 255; } space; text {caption = "(Press Enter to continue)"; font_size = 36; font_color = 0, 0, 0; background_color = 255, 255, 255;} enter; text {caption = "(Press Enter to begin practice)"; font_size = 36; font_color = 0, 0, 0; background_color = 255, 255, 255;} enter_practice; text {caption = "TARGET: Tiffany's Happy Face (Only)"; font_size = 36; font_color = 38,44,79; background_color = 255, 255, 255;} happy_tiffany; text {caption = "TARGET: Tiffany's Sad Face (Only)"; font_size = 36; font_color = 38,44,79; background_color = 255, 255, 255;} sad_tiffany; text {caption = "TARGET: Tiffany's Neutral Face (Only)"; font_size = 36; font_color = 38,44,79; background_color = 255, 255, 255;} neutral_tiffany; text { caption = "TARGET: All of Tiffany's Faces"; font_size = 36; font_color = 38,44,79; background_color = 255, 255, 255;} tiffany_targets; text {caption = "TARGET: Dick's Happy Face (Only)"; font_size = 36; font_color = 38,44,79; background_color = 255, 255, 255;} happy_dick; text { caption = "TARGET: All of Dick's Faces"; font_size = 36; font_color = 38,44,79; background_color = 255, 255, 255;} dick_targets; text { caption = "In this experiment, you will have to identify some face targets from a set of face stimuli.\n\nDifferent targets are to be identified in different conditions.\n\nPress <spacebar> when you see the targets; do not response when non-targets are shown.\n\nPlease respond as accurately and as fast as possible.\n\nBefore the experiment begins, you will be doing a practice trial."; font_size = 38; font_color = 38,44,79; background_color = 255, 255, 255;} instruction_1; text { caption = "You will have to identify the following target(s) from a set of face stimuli,"; font_size = 38; font_color = 38,44,79; background_color = 255, 255, 255;} instruction_2; text { caption = "Press <spacebar> when you see the target(s); do not respond when non-targets are shown.\nPlease respond as accurately and as fast as possible"; font_size = 38; font_color = 38,44,79; background_color = 255, 255, 255;} instruction_3; } phrases; array { bitmap { filename = "happy_condition\\nontarget_target\\nontarget_target_10_neutral_F2_resize.bmp"; preload = true; } bmx; bitmap { filename = "happy_condition\\nontarget_target\\nontarget_target_11_neutral_F2_resize.bmp"; preload = true; }; bitmap { filename = "happy_condition\\nontarget_target\\nontarget_target_12_neutral_F2_resize.bmp"; 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bitmap { filename = "neutral_condition\\target\\target_9_neutral_F2_resize.bmp"; preload = true; }neutral_target; } NEUTRAL; array { bitmap { filename = "identity_condition\\nontarget_filler\\filler_10_neutral_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_11_sad_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_12_sad_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_13_happy_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_14_happy_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_15_neutral_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_16_neutral_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_17_sad_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_18_sad_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_19_happy_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_1_happy_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_20_happy_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_21_neutral_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_22_sad_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_23_neutral_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_24_sad_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_25_sad_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_26_happy_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_27_happy_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_28_neutral_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_29_neutral_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_2_happy_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_30_sad_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_31_sad_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_32_happy_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_33_happy_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_34_neutral_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_35_neutral_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_36_sad_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_3_neutral_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_4_neutral_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_5_sad_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_6_sad_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_7_happy_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_8_happy_F8.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget_filler\\filler_9_neutral_F7.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_100_sad_F21.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_101_sad_F22.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_102_sad_F24.bmp"; 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bitmap { filename = "identity_condition\\nontarget\\nontarget_6_happy_F22.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_70_sad_F27.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_71_sad_F28.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_72_sad_F29.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_73_happy_F9.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_74_happy_F11.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_75_happy_F19.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_76_happy_F20.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_77_happy_F21.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_78_happy_F22.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_79_happy_F24.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_7_happy_F24.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_80_happy_F25.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_81_happy_F26.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_82_happy_F27.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_83_happy_F28.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_84_happy_F29.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_85_neutral_F9.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_86_neutral_F11.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_87_neutral_F20.bmp"; preload = true; }; bitmap { filename = "identity_condition\\nontarget\\nontarget_88_neutral_F21.bmp"; 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}; bitmap { filename = "identity_condition\\target\\target_17_sad_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_18_sad_F2_resize.bmp"; preload = true; }id_target_3; bitmap { filename = "identity_condition\\target\\target_1_happy_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_2_happy_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_3_happy_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_4_happy_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_5_happy_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_6_happy_F2_resize.bmp"; preload = true; }id_target_2; bitmap { filename = "identity_condition\\target\\target_7_neutral_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_8_neutral_F2_resize.bmp"; preload = true; }; bitmap { filename = "identity_condition\\target\\target_9_neutral_F2_resize.bmp"; preload = true; }id_target_1; } IDENTITY; array{ bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_45_sad_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_19_happy_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_48_sad_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_15_sad_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_18_sad_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_36_sad_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_5_neutral_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_13_happy_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_14_happy_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_40_happy_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_2_sad_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_37_happy_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_4_happy_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_8_neutral_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_7_neutral_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_47_sad_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_31_happy_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_6_neutral_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_17_sad_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_12_sad_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_25_neutral_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_34__happy_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_23_neutral_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_11_happy_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_10_happy_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_20_happy_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_24_neutral_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_22_neutral_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_32_happy_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_1_happy_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_33_happy_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_9_sad_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_41_neutral_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_35_sad_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_26_neutral_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_16_sad_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_39_happy_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_38_happy_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_29_sad_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_30_sad_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_27_neutral_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_42_neutral_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_46_sad_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_21_neutral_M1.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_44_neutral_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_43_neutral_M4.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_3_sad_M2.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\nontargets\\nontarget_28_neutral_M7.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\target\\target_5_sad_M5.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\target\\target_3_neutral_M5.bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\target\\target_4_neutral_M5.bmp"; preload = true; } id_pratice_target_3; bitmap { filename = "Identity_condition_practice\\target\\target_2_happy_M5 .bmp"; preload = true; }; bitmap { filename = "Identity_condition_practice\\target\\target_1_happy_M5.bmp"; preload = true; } id_pratice_target_2; bitmap { filename = "Identity_condition_practice\\target\\target_6_sad_M5.bmp"; preload = true; } id_pratice_target_1; } IDENTITY_PRACTICE; array{ bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_10_sad_M5.bmp"; preload = true; }emotion_pratice_not_targe_3; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_8_sad_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_7_sad_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_12_sad_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_11_sad_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_2_neutral_M5.bmp"; preload = true; }emotion_pratice_not_targe_2; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_9_sad_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_5_neutral_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_4_neutral_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_3_neutral_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_1_neutral_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontarget_target\\nontarget_target_6_neutral_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_19_happy_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_15_sad_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_18_sad_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_36_sad_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_5_neutral_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_13_happy_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_14_happy_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_2_sad_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_4_happy_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_8_neutral_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_7_neutral_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_31_happy_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_6_neutral_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_17_sad_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_12_sad_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_25_neutral_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_34__happy_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_23_neutral_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_11_happy_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_10_happy_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_20_happy_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_24_neutral_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_22_neutral_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_32_happy_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_1_happy_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_33_happy_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_9_sad_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_35_sad_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_26_neutral_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_16_sad_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_29_sad_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_30_sad_M4.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_27_neutral_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_21_neutral_M1.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_3_sad_M2.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\nontargets\\nontarget_28_neutral_M7.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\target\\target_4_happy_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\target\\target_3_happy_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\target\\target_5_happy_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\target\\target_2_happy_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\target\\target_1_happy_M5.bmp"; preload = true; }; bitmap { filename = "Emotion_condition_practice\\target\\target_6_happy_M5.bmp"; preload = true; } emotion_pratice_targe_1; }EMOTION_PRACTICE; # ------------------------------- Trials ------------------------------ trial{ trial_type = specific_response; terminator_button = 2; trial_duration = forever; picture { background_color = 255, 255, 255; text { background_color = 255, 255, 255; caption = "Welcome\nto\nPresentation"; font_size = 86; font_color = 38,44,79; }; x = 0; y =0; text enter; x = 0; y = -500; } welcome_pic; } welcome_page; trial { trial_type = specific_response; terminator_button = 2; trial_duration = forever; picture { background_color = 255, 255, 255; text instruction_1; x=0;y=200; text enter; x = 0; y = -500; }instruction_pic; } instruction_trial; trial{ trial_type = specific_response; terminator_button = 2; trial_duration = forever; picture { background_color = 255, 255, 255; text { caption = "Break"; font_size = 86; font_color = 38,44,79; background_color = 255, 255, 255; }; x = 0; y =0; text enter; x = 0; y = -500; } break_pic; } break_trial; trial{ trial_type = specific_response; terminator_button = 2; trial_duration = forever; picture { background_color = 255, 255, 255; text { caption = "Practice Complete"; font_size = 86; font_color = 38,44,79; background_color = 255, 255, 255; }; x = 0; y =0; text enter; x = 0; y = -500; } practice_pic; } practice_trial; trial{ trial_type = specific_response; terminator_button = 1,2; trial_duration = forever; picture { background_color = 255, 255, 255; text { caption = "The is the end of the experiment."; font_size = 86; font_color = 38,44,79; background_color = 255, 255, 255; }; x = 0; y =0; text { caption = "(Press Space or Enter to quit)"; font_size = 36; font_color = 38,44,79; background_color = 255, 255, 255; }; x = 0; y = -500; } end_pic; } end_trial; trial{ trial_type = specific_response; terminator_button = 2; trial_duration = forever; picture { background_color = 255, 255, 255; text { background_color = 255, 255, 255; caption = "Ready?"; font_size = 86; font_color = 38,44,79; }; x = 0; y =0; text enter; x = 0; y = -500; } ready_pic; } ready_trial; trial{ trial_type = fixed; trial_duration = 1000; picture { background_color = 255, 255, 255; text { caption = "+"; font_size = 78; font_color = 0,0,0; background_color = 255, 255, 255; }; x = 0; y =0; } fixate_pic; } fixation_trial; trial { trial_type = specific_response; terminator_button = 1; trial_duration = forever; stimulus_event { picture{ background_color = 255, 255, 255; }Block_Begin_pic; }Block_Begin_event; }Block_Begin; trial { trial_type = fixed; all_responses = false; picture default; response_active = false; code = "Blank"; } blank_trial; trial { trial_duration = 800; stimulus_event { picture { background_color = 255, 255, 255; bitmap bmx; x = 0; y = 0; }test_pic; delta_time = 0; } test_event; } test_trial; # ----------------------------- PCL Program ----------------------------- begin_pcl; #CONSTANTS int OFFSET_X = 350; int OFFSET_Y = 250; int CENTRE = 0; default.set_background_color( 255, 255, 255 ); # ----------------------------- Functions ----------------------------- sub string get_path_component ( bitmap bitmap_file, int nth_last_index ) begin array<string> path_component[0]; string full_path = bitmap_file.filename(); full_path.split("\\", path_component); int component_index = path_component.count() - nth_last_index + 1; return path_component[component_index]; end; sub int get_stimuli_port_code ( bitmap bitmap_file ) begin string condition_directory_name = get_path_component( bitmap_file, 3 ); string target_directory_name = get_path_component( bitmap_file, 2 ); string filename = get_path_component( bitmap_file, 1 ); if (condition_directory_name == "happy_condition") then if target_directory_name == "target" then return 11; elseif target_directory_name == "nontarget_target" then if filename.find( "sad" ) > 0 then return 13; elseif filename.find( "neutral" ) > 0 then return 14; end; elseif target_directory_name == "nontarget" then if filename.find( "happy" ) > 0 then return 15; elseif filename.find( "sad" ) > 0 then return 16; elseif filename.find( "neutral" ) > 0 then return 17; end; end; elseif (condition_directory_name == "sad_condition") then if target_directory_name == "target" then return 21; elseif target_directory_name == "nontarget_target" then if filename.find( "happy" ) > 0 then return 22; elseif filename.find( "neutral" ) > 0 then return 24; end; elseif target_directory_name == "nontarget" then if filename.find( "happy" ) > 0 then return 25; elseif filename.find( "sad" ) > 0 then return 26; elseif filename.find( "neutral" ) > 0 then return 27; end; end; elseif (condition_directory_name == "neutral_condition") then if target_directory_name == "target" then return 31; elseif target_directory_name == "nontarget_target" then if filename.find( "happy" ) > 0 then return 32; elseif filename.find( "sad" ) > 0 then return 33; end; elseif target_directory_name == "nontarget" then if filename.find( "happy" ) > 0 then return 35; elseif filename.find( "sad" ) > 0 then return 36; elseif filename.find( "neutral" ) > 0 then return 37; end; end; elseif (condition_directory_name == "identity_condition") then if target_directory_name == "target" then return 41; elseif target_directory_name == "nontarget" then if filename.find( "happy" ) > 0 then return 45; elseif filename.find( "sad" ) > 0 then return 46; elseif filename.find( "neutral" ) > 0 then return 47; end; elseif target_directory_name == "nontarget_filler" then return 48; end; end; return 0; end; #End of function # ----------------------------- Start Experiment ----------------------------- include_once "..\\PCLs\\Prepare_Experiment.pcl"; include_once "..\\PCLs\\Start_Experiment.pcl"; # ----------------------------- PRACTICE Block ----------------------------- include_once "..\\PCLs\\Practice_Block.pcl"; practice_trial.present(); # ----------------------------- TEST Block ----------------------------- include_once "..\\PCLs\\TEST_Block.pcl"; # ----------------------------- END ----------------------------- end_trial.present();
47f11ae36ee7b8b7f5007e01641f51914d0d7e88
9e57423395d669e8526d4e6145939b9a3be2518f
/Others/gpca.completo.sci
bf4cc79776cd773c745c95662564d5f5a812e37c
[]
no_license
ronas/GPCAZ
4ab88728a9dcf73eb2550ec2e89d82ba49ae8a7a
f4d0e50f6365c065c4b123b71502e7f339244cb2
refs/heads/master
2016-09-05T12:32:25.193710
2013-02-09T21:10:10
2013-02-09T21:10:10
null
0
0
null
null
null
null
ISO-8859-1
Scilab
false
false
2,695
sci
gpca.completo.sci
A1 = {1,1,2;4,8,6;0,2,3} A2 = {6,8,5;3,5,7;2,2,3} A3 = {2,3,8;2,2,8;1,5,3} A4 = {1,1,2;4,8,6;0,2,3} A5 = {6,8,5;3,5,7;2,2,3} A6 = {2,3,8;2,2,8;1,5,3} n=3; for i = 1:n, for j = 1:n, M(i,j) = (A1(i,j) + A2(i,j) + A3(i,j) + A4(i,j) + A5(i,j) + A6(i,j))/6; end; end M Atil1 = A1 - M Atil2 = A2 - M Atil3 = A3 - M Atil4 = A4 - M Atil5 = A5 - M Atil6 = A6 - M disp('--------------- Iteração 1 ---------------') Lo = {1,0;0,1;0,0} Atil1' * Lo * Lo' * Atil1 Atil2' * Lo * Lo' * Atil2 Atil3' * Lo * Lo' * Atil3 Atil4' * Lo * Lo' * Atil4 Atil5' * Lo * Lo' * Atil5 Atil6' * Lo * Lo' * Atil6 MR = ( Atil1' * Lo * Lo' * Atil1 ) + ( Atil2' * Lo * Lo' * Atil2 ) + ( Atil3' * Lo * Lo' * Atil3 ) + ( Atil4' * Lo * Lo' * Atil4 ) + ( Atil5' * Lo * Lo' * Atil5 ) + ( Atil6' * Lo * Lo' * Atil6 ) [evals,X] = spec(MR) R(:,1) = evals(:,3,:) R(:,2) = evals(:,2,:) ML = ( Atil1 * R * R' * Atil1' ) + ( Atil2 * R * R' * Atil2' ) + ( Atil3 * R * R' * Atil3' ) + ( Atil4 * R * R' * Atil4' ) + ( Atil5 * R * R' * Atil5' ) + ( Atil6 * R * R' * Atil6' ) [evals,Y] = spec(ML) L(:,1) = evals(:,1,:) L(:,2) = evals(:,2,:) RMSE1 = ( norm(Atil1 - L * L' * Atil1 * R * R', 'fro') + norm(Atil2 - L * L' * Atil2 * R * R', 'fro') + norm(Atil3 - L * L' * Atil3 * R * R', 'fro') + norm(Atil4 - L * L' * Atil4 * R * R', 'fro') + norm(Atil5 - L * L' * Atil5 * R * R', 'fro') + norm(Atil6 - L * L' * Atil6 * R * R', 'fro') ) / 6 disp('--------------- Iteração 2 ---------------') Lo = L Atil1' * Lo * Lo' * Atil1 Atil2' * Lo * Lo' * Atil2 Atil3' * Lo * Lo' * Atil3 Atil4' * Lo * Lo' * Atil4 Atil5' * Lo * Lo' * Atil5 Atil6' * Lo * Lo' * Atil6 MR = ( Atil1' * Lo * Lo' * Atil1 ) + ( Atil2' * Lo * Lo' * Atil2 ) + ( Atil3' * Lo * Lo' * Atil3 ) + ( Atil4' * Lo * Lo' * Atil4 ) + ( Atil5' * Lo * Lo' * Atil5 ) + ( Atil6' * Lo * Lo' * Atil6 ) [evals,X] = spec(MR) R(:,1) = evals(:,1,:) R(:,2) = evals(:,3,:) ML = ( Atil1 * R * R' * Atil1' ) + ( Atil2 * R * R' * Atil2' ) + ( Atil3 * R * R' * Atil3' ) + ( Atil4 * R * R' * Atil4' ) + ( Atil5 * R * R' * Atil5' ) + ( Atil6 * R * R' * Atil6' ) [evals,Y] = spec(ML) L(:,1) = evals(:,1,:) L(:,2) = evals(:,2,:) RMSE2 = ( norm(Atil1 - L * L' * Atil1 * R * R', 'fro') + norm(Atil2 - L * L' * Atil2 * R * R', 'fro') + norm(Atil3 - L * L' * Atil3 * R * R', 'fro') + norm(Atil4 - L * L' * Atil4 * R * R', 'fro') + norm(Atil5 - L * L' * Atil5 * R * R', 'fro') + norm(Atil6 - L * L' * Atil6 * R * R', 'fro') ) / 6 disp('--------------- Projeção ---------------') D1 = L' * Atil1 * R D2 = L' * Atil2 * R D3 = L' * Atil3 * R D4 = L' * Atil4 * R D5 = L' * Atil5 * R D6 = L' * Atil6 * R
ed10c1b849c8f453ed717d3496850957d0bd230f
8515a296e01b69a939982d59f7997b6daf2e4cbd
/projects/01/Mux4Way.tst
b2079146e6d50139f3bccdcd7cad5b778c4c13e2
[]
no_license
hiragi-gkuth/n2t
9e1b41a136aaa79bff78854d5ccb7cd86f714603
566cc2d5801d1258c547cb6f2dd10272af3b9f79
refs/heads/main
2023-06-10T21:34:49.395174
2021-07-03T09:06:34
2021-07-03T09:06:34
353,191,765
0
0
null
2021-07-03T09:06:35
2021-03-31T01:44:53
Assembly
UTF-8
Scilab
false
false
710
tst
Mux4Way.tst
load Mux4Way.hdl, output-file Mux4Way.out, compare-to Mux4Way.cmp, output-list a%B2.1.2 b%B2.1.2 c%B2.1.2 d%B2.1.2 sel%B2.2.2 out%B2.1.2; set a 0, set b 0, set c 0, set d 0, set sel 0, eval, output; set sel 1, eval, output; set sel 2, eval, output; set sel 3, eval, output; set a 1, set sel 0, eval, output; set a 0, set b 1, set sel 1, eval, output; set b 0, set c 1, set sel 2, eval, output; set c 0, set d 1, set sel 3, eval, output; set a 0, set b 1, set c 0, set d 0, set sel 0, eval, output; set b 0, set c 1, set sel 1, eval, output; set c 0, set d 1, set sel 2, eval, output; set d 0, set a 1, set sel 3, eval, output;
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EX_6_22.sce
// Example 6.22;// input impedence with feedback clc; clear; close; A= 1000;// open voltage gain Beta=0.005;// feedback ratio Zi=2;//input impedance without feedback in kiilo ohms Zif= (1+A*Beta)*Zi;//input impedance with feedback in kiilo ohms disp(Zif,"input impedance with feedback in kiilo ohms is")
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2_6.sce
//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 2.6 //calculation of the slope of curve at a given point //given data AB=5; //length of AB line segment BC=4; //length of BC line segment DE=5; //length of DE line segment EF=-4; //length of EF line segment //calculation m1=AB/BC; //formula of slope,m1=dy/dx at x=2 //m2=0 since tangent to curve at x=6 is parallel to x axis m2=0; m3=DE/EF; //formula of slope,m2=dy/dx at x= 10 disp(m1,'the slope of the curve at x=2 is'); disp(m2,'the slope of the curve at x=6 is'); disp(m3,'the slope of the curve at x=10 is');
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Ex10_2.sce
//Example number 10.2, Page number 225 clc;clear; close; //Variable declaration T=2.5; //temperature(K) Tc=3.5; //critical temperature(K) H0=3.2*10**3; //critical magnetic field(A/m) //Calculation Hc=H0*(1-(T/Tc)**2); //critical field(A/m) //Result printf("critical field is %.3e A/m",Hc)
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//clear// //Caption:Duobinary Encoding //Example6.2: Precoded Duobinary coder and decoder //Page 256 clc; b = [0,0,1,0,1,1,0];//input binary sequence:precoder input a(1) = xor(1,b(1)); if(a(1)==1) a_volts(1) = 1; end for k =2:length(b) a(k) = xor(a(k-1),b(k)); if(a(k)==1) a_volts(k)=1; else a_volts(k)=-1; end end a = a'; a_volts = a_volts'; disp(a,'Precoder output in binary form:') disp(a_volts,'Precoder output in volts:') //Duobinary coder output in volts c(1) = 1+ a_volts(1); for k =2:length(a) c(k) = a_volts(k-1)+a_volts(k); end c = c'; disp(c,'Duobinary coder output in volts:') //Duobinary decoder output by applying decision rule for k =1:length(c) if(abs(c(k))>1) b_r(k) = 0; else b_r(k) = 1; end end b_r = b_r'; disp(b_r,'Recovered original sequence at detector oupupt:') //Result //Precoder output in binary form: // // 1. 1. 0. 0. 1. 0. 0. // // Precoder output in volts: // // 1. 1. - 1. - 1. 1. - 1. - 1. // // Duobinary coder output in volts: // // 2. 2. 0. - 2. 0. 0. - 2. // // Recovered original sequence at detector oupupt: // // 0. 0. 1. 0. 1. 1. 0.
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// sum 17-5 clc; clear; W=22000; nj=960/60; p=2.4; u=20*10^-9; d=sqrt(W/p); d=96; r=d/2; l=d; S=0.0446; pact=W/(l*d); //x=r/c; x=sqrt(S*pact/(u*nj)); c=r/x; ho=0.2*c; Q=r*c*nj*l*4.62; Q=Q*60/10^6; // printing data in scilab o/p window printf("d is %0.0f mm ",d); printf("\n l is %0.0f mm ",l); printf("\n ho is %0.4f mm ",ho); printf("\n Q is %0.3f lpm ",Q); //The difference in answer to Q is due to rounding -off the value of c.
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clc //initialisation of variables n=0.013//ft s=4.90//ft v=0.590//ft d=0.463//ft w=3.9*10^-2//ft p=1.696//ft //CALCULATIONS V=s*v//fps Q=s*d//cfs N=(w*p)^2*1000//percent //RESULTS printf('the velocity of flow and rate of discharge=% f percent',N)
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//Chapter 6 //Example 6.1 //Page 142 //Secondary clear;clc; N_1 = 2000; N_2 = 500; V_1 = 1200 * (cos(0)+%i*sin(0)); I_1 = 5 * (cos(-30*%pi/180) + %i * sin(-30*%pi/180)); //Calculations a = N_1 / N_2; V_2 = V_1/a; I_2 = a * I_1; Z_2 = V_2 / I_2; Z1_2 = Z_2 * a^2; printf("\n\n V_2 = %.0f /_%.0f V \n\n",abs(V_2),((atan(imag(V_2),real(V_2)))*180/%pi)) printf("\n\n I_2 = %.0f /_%.0f A \n\n",abs(I_2),((atan(imag(I_2),real(I_2)))*180/%pi)) printf("\n\n Z_2 = %.0f /_%.0f ohm \n\n",abs(Z_2),((atan(imag(Z_2),real(Z_2)))*180/%pi)) printf("\n\n Z1_2 = %.0f /_%.0f ohm \n\n",abs(Z1_2),((atan(imag(Z1_2),real(Z1_2)))*180/%pi))
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clc //Example 17.3 //Calculate the distance between the wall and edge of the laminar sublayer and buffer layer V=10//ft/s l=0.25//ft v=1.08*10^(-5)//ft^2/s R=V*l/v//dimentionless (reynold's number) f=0.0037//dimentionless (fanning friction factor) u1=V*(f/2)^0.5//ft/s u01=5//dimentionless y01=5//dimentionless r1=y01*v/u1//ft printf("the distance between the wall and edge of the laminar sublayer is %f ft\n",r1); //for buffer layer u02=12//dimentionless y02=26//dimentionless r2=y02*v/u1//ft printf("the distance between the wall and edge of the buffer layer is %f ft",r2);
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clear; clc; //Example13.7[Radiation Heat Transfer between Parallel Plates] //Given:- T1=800,T2=500;//Temp of parallel plates[K] e1=0.2,e2=0.7;//Emissivities //Solution:- q12=(5.67*10^(-8))*((T1^4)-(T2^4))/((1/e1)+(1/e2)-1); disp("is transferred from plate 1 to plate 2 by radiation per unit surface area of either plate","W",round(q12),"The net heat at the rate of")
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//Example 11.5 //Gauss-Seidel Method //Page no. 373 clc;clear;close; U=[0,500,1000,500,0;1000,0,0,0,1000;2000,0,0,0,2000;1000,0,0,0,1000;0,500,1000,500,0] deff('y=d(i,j)','y=(U(i-1,j-1)+U(i+1,j+1)+U(i-1,j+1)+U(i+1,j-1))/4') //diagonal 5 point formula deff('y=s(i,j,l)','y=(U(i-l,j)+U(i+l,j)+U(i,j-l)+U(i,j+l))/4') //std 5 point formula U(3,3)=s(3,3,2); for k=0:10 p=3; for i=2:4 for j=2:4 if k==0 & (i==3 & j==3) | (i==2 & j==4) | (i==4 & j==2) | (i==4 & j==4) then printf('\n U%i(%i) = %g\n',i+j-p,k,U(i,j)) continue end if k==0 & i==2 & j==2 then U(i,j)=d(i,j) else U(i,j)=s(i,j,1) end if i==2 & j==2 then U(2,4)=U(2,2); U(4,2)=U(2,2); U(4,4)=U(2,2); end if k==0 then printf('\n U%i = %g\n',i+j-p,U(i,j)) else printf('\n U%i(%i) = %g\n',i+j-p,k,U(i,j)) end end p=p-2; end printf('\n\n') end printf('\nHence the solution is : \n\n') p=3; for i=2:4 for j=2:4 printf(' U%i = %.3f, ',i+j-p,U(i,j)) end p=p-2 end
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/2)Eigen.sce
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2022-04-13T03:35:12.764191
2020-04-10T14:59:03
2020-04-10T14:59:03
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2)Eigen.sce
clc;clear;close; n=3 disp("Enter the elements for matrix A") for i=1:n for j=1:n A(i,j)=input("Enter the element ") end end lam=poly(0,'lam') lam=lam charMat=A-lam*eye(3,3) disp(charMat,' charateristic Matrix is') charPoly=poly(A,'lam') disp(charPoly,' charateristic polynomial is') lam=spec(A) disp(lam,' eigen values of A are') function[x,lam]=eigenvectors(A) [n,m]=size(A); lam=spec(A)'; x=[]; for k=1:3 S=A-lam(k)*eye(3,3); C=S(1:n-1,1:n-1); b=-S(1:n-1,n); y=C\b; y=[y;1]; y=y/norm(y); x=[x y]; end endfunction //get f('eigenvectors') [x,lam]=eigenvectors(A) disp(x,' eigen vectors of A are');