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//CHAPTER 11 ILLUSRTATION 11 PAGE NO 297 //TITLE:VIBRATIONS //FIGURE 11.19 clc clear //=========================================================================================== //INPUT DATA PI=3.147 g=9.81// ACCELERATION DUE TO GRAVITY IN N /m^2 E=210*10^9// YOUNGS MODUKUS OF SHAFT MATERIAL IN Pascals D=.18// DIAMETER OF SHAFT IN m L=2.5// LENGTH OF SHAFT IN m M1=25// MASS ACTING AT E IN Kg M2=50// MASS ACTING AT D IN Kg M3=20// MASS ACTING AT C IN Kg W1=M1*g W2=M2*g W3=M3*g L1=.6// LENGTH FROM A TO E IN m L2=1.5// LENGTH FROM A TO D IN m L3=2// LENGTH FROM A TO C IN m w=1962// SELF WEIGHT OF SHAFT IN N //========================================================================================== I=PI*D^4/64// MOMENT OF INERTIA OF SHAFT IN m^4 DELTA1=W1*L1^2*(L-L1)^2/(3*E*I*L)// STATIC DEFLECTION DUE TO W1 DELTA2=W2*L2^2*(L-L2)^2/(3*E*I*L)// STATIC DEFLECTION DUE TO W2 DELTA3=W3*L3^2*(L-L3)^2/(3*E*I*L)// STATIC DEFLECTION DUE TO W3 DELTA4=5*w*L^4/(384*E*I)// STATIC DEFLECTION DUE TO w Fn=.4985/(DELTA1+DELTA2+DELTA3+DELTA4/1.27)^.5 Nc=Fn*60// CRITICAL SPEED OF SHAFT IN rpm //======================================================================================== printf('CRITICAL SPEED OF SHAFT = %.3f rpm',Nc)
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// Demo for Random Forest -- Scilab getd('../macros') // Data preparation M = csvRead('Datasets/titanic.csv') x = M(:, [3,6]); y = M(:, 2); // Data cleaning function xnorm = norma(x) n = length(x) mi = min(x) ma = max(x) for i=1:n x(i) = 1.0*(x(i) - mi)/(ma - mi) end xnorm = x endfunction y(or(isnan(x),'c'),:) = [] x(or(isnan(x),'c'),:) = [] x(:, 1) = norma(real(x(:, 1))) x(:, 2) = norma(real(x(:, 2))) trees = 4 samplesize = 100 ypred = randomForest(x, y, trees, samplesize, x) disp(0.5*sqrt(norm(y - ypred')))
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// Exa 2.9 clc; clear; close; format('v',5) // Given data R1 = 6;// in ohm R2 = 4;// in ohm R3 = 3;// in ohm R_L = 6;// in ohm V1 = 6;// in V V2 = 15;// in V // V1 - R1*I - R3*I -V2 = 0 I= (V1-V2)/(R1+R3); // Vth - R3*I -V2 = 0; Vth =V2+R3*I;// in V Rth = ((R1*R3)/(R1+R3)) + R2;// in ohm // current through 6 ohm resistance I_L = Vth/(Rth+R_L);// in A disp(I_L,"The current through 6 ohm resistance in A is");
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clc D = 0.1 // cm^2/sec l = 10 // cm C10 = 1 C1l = 0 C1 = 0.5 V1 = (D/l)*(C10 - C1l)/C1 // Cm/sec V2 = -V1 M1 = 28 M2 = 2 omeg1 = C1*M1/(C1*M1 + C1*M2) omeg2 = C1*M2/(C1*M1 + C1*M2) V = omeg1*V1 + omeg2*V2 printf("The mass average velocity is %.5f cm/s",V)
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clear clc disp('Ex-16.2'); mc2=940*10^6; k=8.6*10^-5; //various constants and given values in suitable units T= mc2/k; //temperature of the photons printf('The temperature of the photons must be %.1e K\n',T); t=((1.5*10^10)/T)^2; //age of universe when the photons have the above temperature printf('The age of the universe for the temperature of the photon to be as obtained above is %.0e seconds',t);
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//Given that density_water = 998 //in kg/m^3 l = 135*10^-3 //in meter d = 12.3*10^-3 //in meter g = 9.8 //in m/s^2 //Sample Problem 15-3 printf("**Sample Problem 15-3**\n") d_oil = density_water*g*l/(g*(l+d)) //pressure at same height should be same printf("The density of the oil is %fkg/m^3", d_oil)
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clear //Given m=10 //Kg T=2*60*60 //S rn=8*10**6 //m h=6.62*10**-34 //Calculation // vn=(2*%pi*rn)/T n=(2*%pi*rn*vn)/h //Result printf("\n Quantum number is %0.1f *10**45 ",n*10**-44)
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clc clear //DATA GIVEN V=0.15; //volume of wet steam in m^3 p=4; //pressure of wet steam in bar x=0.8; //dryness fraction //At 4 bar, from steam tables vg=0.462; //m^3/kg hf=604.7; //kJ/kg hfg=2133; //kJ/kg rho=1/(x*vg); //density in kg/m^3 m=rho*V; //mass of 0.15 m^3 of steam Htotal=(rho*1)*(hf+x*hfg); //total heat of 1 m^3 of steam which has a mass of rho(2.7056) kg printf('(i)The Mass of 0.15 m^3 of steam is: %1.4f kg. \n',m); printf('(ii)The Total heat of 1 m^3 of steam which has a mass of 2.7056 kg is: %4.2f kJ. \n',Htotal);
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//control systems by Nagoor Kani A //Edition 3 //Year of publication 2015 //Scilab version 6.0.0 //operating systems windows 10 // Example 5.13 clc; clear; s=poly(0,'s')//defines s as poly nomial variable h=syslin('c',(230/(s*(s+2)*(s+10))))//the value of K lies between 0 to 240 .the given transfer function assigned to variable h nyquist(h) show_margins(h,'nyquist') //calculation of K //when -0.00417K=-1the contour passes through -1+j0 and the corrospondig value of K is the limiting value of k for stabilty K=1/0.00417 disp(K,'the value of K is')
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//Parameters model of pendulum M=0.696 //Masa del carro (Kg) m=0.017 //masa del pendulo (Kg) l=0.3 //longitud de la barra (m) g=9.8 //aceleracion gravitacional (m/s2) b=0.001 //coeficiente de friccion (Ns/m) I=0.0011 //Inercia del pendulo (Kgm2)
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clc //Initialization of variables K=1.754*10^-5 //m c=0.1 //calculations disp("Neglecting x w.r.t c,") x2=K x=sqrt(K) mu=x disp("From tables 14-5 and 14-6,") gH=0.963 gA=0.960 x22=K/(gH*gA) a=poly(0,"a"); p=a^2 +a*x22 -c*x22 z=roots(p) alpha=z(2) //results printf("concentration of H plus ions = %.2e m",alpha)
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function []=mvcr(x,y,theta,phi) ///////////////%% BEGIN OF SCRIPT-FILE mvcr %%%%%%%%%%%%%%% // // CAR PACKING VIA FLATNESS AND FRENET FORMULAS // // explicit computation and visualisation of the motions. // // February 1993 // // ............................................................ // : pierre ROUCHON <rouchon@cas.ensmp.fr> : // : Centre Automatique et Systemes, Ecole des Mines de Paris : // : 60, bd Saint Michel -- 75272 PARIS CEDEX 06, France : // : Telephone: (1) 40 51 91 15 --- Fax: (1) 43 54 18 93 : // :..........................................................: // // // bigL: car length (m) // bigT: basic time interval for one smooth motion (s) // a0, a1, p(3): intermediate variables for polynomial // curves definition // // // Copyright INRIA xbasc() ; bigT = 1 ; bigL = 1 ; a0 =0 ; a1 = 0 ; p= [0 0 0 ] ; // // initial configuration of the car x1 = x ; y1 = y ; theta1 = theta ; phi1 = phi ; // final configuration of the car x2 = 0 ; y2 = 0 ; theta2 =0; phi2 = 0 ; // Constraints: y1 > y2 and -%pi/2 < theta1,2, phi1,2 < %pi/2 // // sampling of motion 1 --> 0 and 0 --> 2 nbpt = 40 ; // computation of intermediate configuration x0 = maxi(x1,x2) .... + bigL*abs(tan(theta1)) ..... + bigL*abs(tan(theta2)) ..... + bigL*(abs(y1-y2)/bigL)^(1/2) ; y0 = (y1+y2)/2 ; // // // first polynomial curve a0 = x0 ; b0 = y0 ; a1 = x1 ; b1 = y1 ; M = [ (a1-a0)^3 (a1-a0)^4 (a1-a0)^5 3*(a1-a0)^2 4*(a1-a0)^3 5*(a1-a0)^4 6*(a1-a0) 12*(a1-a0)^2 20*(a1-a0)^3 ] ; q = [ b1-b0 tan(theta1) tan(phi1)/(bigL*(cos(theta1)^3)) ] ; p = inv(M)*q ; // // computation the first motion, time: 1 -> 0 state=[ x1 y1 theta1 phi1 ] ; for i=1:(nbpt+1) tau = (i-1)/nbpt ; phi=tau*tau*(3-2*tau) ; a = (1-phi)*a1 + phi*a0 ; f= b0+ p(1).*(a-a0)^3 + p(2).*(a-a0)^4 + p(3).*(a-a0)^5 ; df = 3*p(1).*(a-a0)^2 + 4*p(2).*(a-a0)^3 + 5*p(3).*(a-a0)^4 ; ddf = 6*p(1).*(a-a0) + 12*p(2).*(a-a0)^2 + 20*p(3).*(a-a0)^3 ; k = ddf / ((1+df*df)^(3/2)) ; state = [ state; a f atan(df) atan(k*bigL)] ; end // // // second polynomial curve a0 = x0 ; b0 = y0 ; a1 = x2 ; b1 = y2 ; M = [ (a1-a0)^3 (a1-a0)^4 (a1-a0)^5 3*(a1-a0)^2 4*(a1-a0)^3 5*(a1-a0)^4 6*(a1-a0) 12*(a1-a0)^2 20*(a1-a0)^3 ] ; q = [ b1-b0 tan(theta2) tan(phi2)/(bigL*(cos(theta2)^3)) ] ; p = inv(M)*q ; // // computation of the second motion 0 --> 2 for i=1:(nbpt+1) tau = (i-1)/nbpt ; phi=tau*tau*(3-2*tau) ; a = (1-phi)*a0 + phi*a1 ; f= b0+ p(1).*(a-a0)^3 + p(2).*(a-a0)^4 + p(3).*(a-a0)^5 ; df = 3*p(1).*(a-a0)^2 + 4*p(2).*(a-a0)^3 + 5*p(3).*(a-a0)^4 ; ddf = 6*p(1).*(a-a0) + 12*p(2).*(a-a0)^2 + 20*p(3).*(a-a0)^3 ; k = ddf / ((1+df*df)^(3/2)) ; state = [ state; a f atan(df) atan(k*bigL)] ; end // // // Graphics // // window size xmini = mini(state(:,1))-0.5*bigL ; xmaxi = maxi(state(:,1))+1.5*bigL ; ymini = mini(state(:,2))-1.5*bigL ; ymaxi = maxi(state(:,2))+1.5*bigL ; //xsetech([0,0,1,1],[xmini,ymini,xmaxi,ymaxi]); pixb=xget("pixmap");xset("pixmap",1);xset("wwpc"); isoview(xmini,xmaxi,ymini,ymaxi) rect=[xmini ymini xmaxi ymaxi] xpoly(rect([1 3 3 1]),rect([2,2,4,4]),'lines',1) // starting configuration ptcr([x1,y1,theta1,phi1]) ; // end configuration ptcr([x2,y2,theta2,phi2]) ; // intermediate configuration (inversion of velocity) ptcr([x0,y0,0,0]) ; // trajectory of the linearizing output xpoly(state(:,1),state(:,2),'lines') ; if xget('pixmap')==1 then xset("wshow");end // movies [n m] = size(state) ; if driver()<>'Pos' then if xget('pixmap')==0 then xset('alufunction',6);... for i=1:n, ptcr( state(i,:)) ; ptcr( state(i,:)) ; end ; xset('alufunction',3); else xset('alufunction',6); for i=1:n, ptcr( state(i,:)) ; xset("wshow"); ptcr( state(i,:)) end ; xset('alufunction',3) ptcr( state(n,:)) ; xset("wshow"); end else //used for gif animation generation for i=1:2:n, xpoly(rect([1 3 3 1]),rect([2,2,4,4]),'lines',1) ptcr([x1,y1,theta1,phi1]) ; ptcr([x2,y2,theta2,phi2]) ; ptcr([x0,y0,0,0]) xpoly(state(:,1),state(:,2),'lines') ; ptcr( state(i,:)) ; xset("wshow"); end ; end xset("pixmap",pixb) function []=mvcr2T(x,y,theta1,theta2,theta3,phi) xbasc(); // // CAR WITH 2 TRAILERS PACKING VIA FLATNESS AND FRENET FORMULAS // // explicit computation and visualisation of the motions. // // February 1993 // // ............................................................ // : pierre ROUCHON <rouchon@cas.ensmp.fr> : // : Centre Automatique et Systemes, Ecole des Mines de Paris : // : 60, bd Saint Michel -- 75272 PARIS CEDEX 06, France : // : Telephone: (1) 40 51 91 15 --- Fax: (1) 43 54 18 93 : // :..........................................................: // // lengths // bigL: car length (m) // d1: trailer 1 length (m) // d2: trailer 2 length (m) // bigT: basic time interval for one smooth motion (s) // a0, a1, b0, p(5): intermediate variables for polynomial // curves definition // bigT = 1 ; bigL = 1 ; d1 = 1.5 ; d2 = 1 ; a0 =0 ; a1 = 0 ; b0 = 0 ; p= [0 0 0 0 0 ] ; // // initial configuration // the system is described via the coordinates of last trailer // x2_1 = x ; y2_1 = y ; theta2_1= theta1; theta12_1 = theta2 ; theta01_1= theta3 ; phi_1 = phi ; // // final configuration of the car x2_2 = 0 ; y2_2 = 0 ; theta2_2= 0 ; theta12_2 = 0 ; theta01_2= 0 ; phi_2 = 0 ; // // sampling of motion 1 --> 0 and of motion 0 --> 2 nbpt1 = 40 ; nbpt2 = 40 ; // // Constraints: y2_1 > y2_2 and // the 4 angles theta2_1,2 // theta12_1,2 // theta01_1,2 // phi_1,2 // must belong to ] -%pi/2 , + %pi/2 [ // // // conputation of intermediate configuration LL=bigL+d1+d2 x2_0 = maxi(x2_1,x2_2) .... + LL*abs(tan(theta2_1)) .... + LL*abs(tan(theta12_1)) .... + LL*abs(tan(theta01_1)) .... + LL*( abs(y2_1-y2_2)/(d1+d2+bigL) )^(1/2) ; y2_0 = (y2_1+y2_2)/2 ; // // // first polynomial curve a0 = x2_0 ; b0 = y2_0 ; a1 = x2_1 ; b1 = y2_1 ; p=cr2Tkf((b1-b0),theta2_1,theta12_1,theta01_1,phi_1) ; // // computation the first motion 1 -> 0 theta2 = theta2_1 ; theta1 = theta12_1+theta2 ; theta0 = theta01_1+theta1 ; phi = phi_1 ; x0=x2_1+d2*cos(theta2)+d1*cos(theta1) ; y0=y2_1+d2*sin(theta2)+d1*sin(theta1) ; state_1 = [x0 y0 theta0 theta1 theta2 phi] ; for i=1:(nbpt1+1) tau = (i-1)/nbpt1 ; phi=tau*tau*(3-2*tau) ; aa = (1-phi)*a1 + phi*a0 ; [bb df d2f d3f d4f d5f] = cr2Tfjt(aa) ; [k2 k1 k0 dk0]=cr2Tfk(df,d2f,d3f,d4f,d5f) ; theta2 = atan(df); theta1 = atan(k2*d2)+theta2; theta0 = atan(k1*d1) + theta1 ; phi = atan(k0*bigL) ; x0=aa+d2*cos(theta2)+d1*cos(theta1) ; y0=bb+d2*sin(theta2)+d1*sin(theta1) ; state_1 = [ state_1 ; x0 y0 theta0 theta1 theta2 phi] ; end ; // // second polynomial curve a0 = x2_0 ; b0 = y2_0 ; a1 = x2_2 ; b1 = y2_2 ; p=cr2Tkf((b1-b0),theta2_2,theta12_2,theta01_2,phi_2) ; // // computation of the second motion 0 -> 2 theta2 = 0 ; theta1 = 0 ; theta0 = 0 ; phi = 0 ; x0=x2_0+d2*cos(theta2)+d1*cos(theta1) ; y0=y2_0+d2*sin(theta2)+d1*sin(theta1) ; state_2 = [x0 y0 theta0 theta1 theta2 phi] ; for i=1:(nbpt2+1) tau = (i-1)/nbpt2 ; phi=tau*tau*(3-2*tau) ; aa = (1-phi)*a0 + phi*a1 ; [bb df d2f d3f d4f d5f] = cr2Tfjt(aa) ; [k2 k1 k0 dk0]=cr2Tfk(df,d2f,d3f,d4f,d5f) ; theta2 = atan(df); theta1 = atan(k2*d2)+theta2; theta0 = atan(k1*d1) + theta1 ; phi = atan(k0*bigL) ; x0=aa+d2*cos(theta2)+d1*cos(theta1) ; y0=bb+d2*sin(theta2)+d1*sin(theta1) ; state_2 = [ state_2 ; x0 y0 theta0 theta1 theta2 phi] ; end ; // // Graphics // // window size xmini = mini([mini(state_1(:,1)) mini(state_2(:,1))]) -1.5*(d1+d2) ; xmaxi = maxi([maxi(state_1(:,1)) maxi(state_1(:,1))]) +1.5*bigL ; ymini = mini([mini(state_1(:,2)) mini(state_2(:,2))])-bigL; ymaxi = maxi([maxi(state_1(:,2)) maxi(state_1(:,2))])+bigL; rect=[xmini ymini xmaxi ymaxi] pixb=xget("pixmap");xset("pixmap",1);xset("wwpc"); xsetech([0,0,1,1],rect); isoview(xmini,xmaxi,ymini,ymaxi) xpoly(rect([1 3 3 1]),rect([2,2,4,4]),'lines',1) // xy_T1 = [ [-bigL/3 bigL/3 bigL/3 -bigL/3 -bigL/3 -bigL/3 -bigL/3 bigL/3 bigL/3 -bigL/3 ], ..... [ bigL/3 d1; 0 0], ..... [-bigL/8 bigL/8 bigL/6 bigL/6 ], .... [-bigL/8 bigL/8 -bigL/6 -bigL/6 ] ] ; xy_T2 = [[-bigL/3 bigL/3 bigL/3 -bigL/3 -bigL/3 -bigL/3 -bigL/3 bigL/3 bigL/3 -bigL/3 ],... [bigL/3 d2 0 0 ],[ -bigL/8 bigL/8 bigL/6 bigL/6 ],[ -bigL/8 bigL/8 -bigL/6 -bigL/6 ] ] ; // starting configuration x2=x2_1 ; y2=y2_1 ; theta2 = theta2_1 ; theta1 = theta12_1+theta2 ; theta0 = theta01_1+theta1 ; phi = phi_1 ; x1=x2+d2*cos(theta2) ; y1=y2+d2*sin(theta2) ; x0=x1+d1*cos(theta1) ; y0=y1+d1*sin(theta1) ; ptsts=[x0,y0,theta0,theta1,theta2,phi] ; ptcr2T(ptsts) ; // end configuration x2=x2_2 ; y2=y2_2 ; theta2 = theta2_2 ; theta1 = theta12_2+theta2 ; theta0 = theta01_2+theta1 ; phi = phi_2 ; x1=x2+d2*cos(theta2) ; y1=y2+d2*sin(theta2) ; x0=x1+d1*cos(theta1) ; y0=y1+d1*sin(theta1) ; ptste=[x0,y0,theta0,theta1,theta2,phi] ptcr2T(ptste) ; // intermediate configuration (inversion of velocity) x2=x2_0 ; y2=y2_0 ; theta2 = 0 ; theta1 = 0; theta0 = 0 ; phi = 0; x1=x2+d2*cos(theta2) ; y1=y2+d2*sin(theta2) ; x0=x1+d1*cos(theta1) ; y0=y1+d1*sin(theta1) ; ptsti=[x0,y0,theta0,theta1,theta2,phi] ptcr2T(ptsti) ; state_1 =[state_1;state_2] ; x_lin = state_1(:,1)-d1*cos(state_1(:,4))-d2*cos(state_1(:,5)) ; y_lin = state_1(:,2)-d1*sin(state_1(:,4))-d2*sin(state_1(:,5)) ; // motion // // trajectory of the linearizing output xpoly(x_lin,y_lin,'lines') if xget('pixmap')==1 then xset("wshow");end // movies [n,m] = size(state_1) ; if driver()<>'Pos' then if xget('pixmap')==0 then xset('alufunction',6); for j=1:n ptcr2T(state_1(j,:));ptcr2T(state_1(j,:)); end ; xset('alufunction',3); else xset('alufunction',6); for j=1:n ptcr2T(state_1(j,:)); xset("wshow"); ptcr2T(state_1(j,:)); end xset('alufunction',3); ptcr2T(state_1(n,:)); xset("wshow"); end else //only use for gif animation generation for j=1:4:n xpoly(rect([1 3 3 1]),rect([2,2,4,4]),'lines',1) ptcr2T(ptsts) ; ptcr2T(ptsti) ; ptcr2T(ptste) ; xpoly(x_lin,y_lin,'lines') ptcr2T(state_1(j,:)) xset("wshow"); end end xset("pixmap",pixb) ////%%%%%%%%%%%% END OF SCRIPT-FILE mvcr2T %%%%%%%%%%%%% function []=dbcr() // // CAR PACKING VIA FLATNESS AND FRENET FORMULAS // // debugg and verification via integration // of the non holonomic system // // February 1993 // // ............................................................ // : pierre ROUCHON <rouchon@cas.ensmp.fr> : // : Centre Automatique et Systemes, Ecole des Mines de Paris : // : 60, bd Saint Michel -- 75272 PARIS CEDEX 06, France : // : Telephone: (1) 40 51 91 15 --- Fax: (1) 43 54 18 93 : // :..........................................................: // // // bigL: car length (m) // bigT: basic time interval for one smooth motion (s) // a0, a1, p(3): intermediate variables for polynomial // curves definition // // bigT = 1 ; bigL = 1 ; a0 =0 ; a1 = 0 ; p= [0 0 0 ] ; // // initial configuration of the car x1 = 0 ; y1 = 4 ; theta1 = %pi/2.5 ; phi1 = 0 ; // final configuration of the car x2 = 0 ; y2 = 0 ; theta2 =0; phi2 = 0 ; // Constraints: y1 > y2 and -%pi/2 < theta1,2, phi1,2 < %pi/2 // // conputation of intermediate configuration x0 = maxi(x1,x2) .... + bigL*abs(tan(theta1)) ..... + bigL*abs(tan(theta2)) ..... + bigL*(abs(y1-y2)/bigL)^(1/2) ; y0 = (y1+y2)/2 ; // // // first polynomial curve a0 = x0 ; b0 = y0 ; a1 = x1 ; b1 = y1 ; M = [ (a1-a0)^3 (a1-a0)^4 (a1-a0)^5 3*(a1-a0)^2 4*(a1-a0)^3 5*(a1-a0)^4 6*(a1-a0) 12*(a1-a0)^2 20*(a1-a0)^3 ] ; q = [ b1-b0 tan(theta1) tan(phi1)/(bigL*(cos(theta1)^3)) ] ; p = inv(M)*q ; // // simulation of the first motion, time: 0 -> bigT [t_1,state_1]=ode23('car',0,bigT, [ x1 y1 theta1 phi1 ]); // // // second polynomial curve a0 = x0 ; b0 = y0 ; a1 = x2 ; b1 = y2 ; M = [ (a1-a0)^3 (a1-a0)^4 (a1-a0)^5 3*(a1-a0)^2 4*(a1-a0)^3 5*(a1-a0)^4 6*(a1-a0) 12*(a1-a0)^2 20*(a1-a0)^3 ] ; q = [ b1-b0 tan(theta2) tan(phi2)/(bigL*(cos(theta2)^3)) ] ; p = inv(M)*q ; // // simulation of the second motion, time: bigT -> 2bigT [n m]=size(t_1); [t_2,state_2]=ode23('car',bigT,2*bigT, state_1(n,:) ); // // // result array merging t_1=t_1(2:n) ; state_1=state_1(2:n,:); t=[ t_1 t_2 ]; state = [ state_1 state_2 ]; // // plot(t,state) ; // xlabel('time (s)') ; // ylabel('x y theta phi ') ; //%%%%%%%%%//%%%% END OF SCRIPT-FILE dbcr %%%%%%%%%%%% function []=dbcr2T() // // CAR WITH 2 TRAILERS PACKING VIA FLATNESS AND FRENET FORMULAS // // debugg and verification via the integration // of the non holonomic system. // // February 1993 // // ............................................................ // : pierre ROUCHON <rouchon@cas.ensmp.fr> : // : Centre Automatique et Systemes, Ecole des Mines de Paris : // : 60, bd Saint Michel -- 75272 PARIS CEDEX 06, France : // : Telephone: (1) 40 51 91 15 --- Fax: (1) 43 54 18 93 : // :..........................................................: // // lengths // bigL: car length (m) // d1: trailer 1 length (m) // d2: trailer 2 length (m) // bigT: basic time interval for one smooth motion (s) // a0, a1, p(5): intermediate variables for polynomial // curves definition // bigT = 1 ; bigL = 1 ; d1 = 1.5 ; d2 = 1 ; a0 =0 ; a1 = 0 ; b0 = 0 ; p= [0 0 0 0 0 ] ; // // initial configuration // the system is described via the coordinates of last trailer x2_1 = 0 ; y2_1 = 6 ; theta2_1= %pi/8; theta12_1 = %pi/8 ; theta01_1= %pi/8 ; phi_1 = %pi/8 ; // // final configuration of the car x2_2 = 0 ; y2_2 = 0 ; theta2_2= 0 ; theta12_2 = 0 ; theta01_2= 0 ; phi_2 = 0 ; // // Constraints: y2_1 > y2_2 and // the 4 angles theta2_1,2 // theta12_1,2 // theta01_1,2 // phi_1,2 // must belong to ] -%pi/2 , + %pi/2 [ // // // conputation of intermediate configuration LL=bigL+d1+d2 ; x2_0 = maxi(x2_1,x2_2) .... + LL*abs(tan(theta2_1)) .... + LL*abs(tan(theta12_1)) .... + LL*abs(tan(theta01_1)) .... + LL*( abs(y2_1-y2_2)/(d1+d2+bigL) )^(1/2) ; y2_0 = (y2_1+y2_2)/2 ; // // // // first polynomial curve a0 = x2_0 ; b0 = y2_0 ; a1 = x2_1 ; b1 = y2_1 ; p=cr2Tkf((b1-b0),theta2_1,theta12_1,theta01_1,phi_1) ; // // simulation of the first motion 0 -> T // time t between 0 and bigT theta2 = theta2_1 ; theta1 = theta12_1+theta2 ; theta0 = theta01_1+theta1 ; phi = phi_1 ; x0=x2_1+d2*cos(theta2)+d1*cos(theta1) ; y0=y2_1+d2*sin(theta2)+d1*sin(theta1) ; [t_1,state_1]=ode45('car2T',0,bigT, .... [ x0 y0 theta0 theta1 theta2 phi ]); // graphics subplot(121); plot(t_1,state_1(:,1:2)) ; xlabel('time (s)') ; ylabel('x_car y_car (m)') ; subplot(122); plot(t_1,state_1(:,3:6)) ; xlabel('time (s)') ; ylabel('theta0 theta1 theta2 phi (rd)') ; // // // second polynomial curve a0 = x2_0 ; b0 = y2_0 ; a1 = x2_2 ; b1 = y2_2 ; p=cr2Tkf((b1-b0),theta2_2,theta12_2,theta01_2,phi_2) ; // // simulation of the second motion bigT -> 2*bigT // // important remark: due to numerical instability of the // integration during inverse motion, we integrate // from the final position 2 to the intermediate position 0. // theta2 = theta2_2 ; theta1 = theta12_2+theta2 ; theta0 = theta01_2+theta1 ; phi = phi_2 ; x0=x2_2+d2*cos(theta2)+d1*cos(theta1) ; y0=y2_2+d2*sin(theta2)+d1*sin(theta1) ; [t_2,state_2]=ode45('car2T',0,bigT, .... [ x0 y0 theta0 theta1 theta2 phi ]); // // // // graphics t_2 = 2*bigT - t_2 ; subplot(121); plot(t_2,state_2(:,1:2)) ; xlabel('time (s)') ; ylabel('x_car y_car (m)') ; subplot(122); plot(t_2,state_2(:,3:6)) ; xlabel('time (s)') ; ylabel('theta0 theta1 theta2 phi (rd)') ; //%%%%%%%%%%%%%% END OF SCRIPT-FILE dbcr2T %%%%%%%%%%%%
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/Axis Tracking.sce
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Axis Tracking.sce
Name=Axis Tracking PlayerCharacters=Axis Tracking Shooter BotCharacters=Axis Tracking Target.bot IsChallenge=true Timelimit=60.0 PlayerProfile=Axis Tracking Shooter AddedBots=Axis Tracking Target.bot PlayerMaxLives=0 BotMaxLives=0 PlayerTeam=1 BotTeams=2 MapName=cube_axis_strafing.map MapScale=1.0 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=false InvincibleBots=false Timescale=1.0 BlockHealthbars=false TimeRefilledByKill=0.0 ScoreToWin=1.0 ScorePerDamage=1.0 ScorePerKill=0.0 ScorePerMidairDirect=0.0 ScorePerAnyDirect=0.0 ScorePerTime=0.0 ScoreLossPerDamageTaken=0.0 ScoreLossPerDeath=0.0 ScoreLossPerMidairDirected=0.0 ScoreLossPerAnyDirected=0.0 ScoreMultAccuracy=false ScoreMultDamageEfficiency=false ScoreMultKillEfficiency=false GameTag=Tracking, Target-switching WeaponHeroTag=AR DifficultyTag=3 AuthorsTag=pleasewait BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=true BlockFCT=false Description=A training to improve horizontal, vertical, and oblique tracking at once. GameVersion=1.0.7.2 ScorePerDistance=0.0 [Aim Profile] Name=_ MinReactionTime=0.000001 MaxReactionTime=0.000001 MinSelfMovementCorrectionTime=0.000001 MaxSelfMovementCorrectionTime=0.000001 FlickFOV=90.0 FlickSpeed=10.0 FlickError=0.0 TrackSpeed=10.0 TrackError=0.0 MaxTurnAngleFromPadCenter=360.0 MinRecenterTime=0.0 MaxRecenterTime=0.0 OptimalAimFOV=360.0 OuterAimPenalty=0.0 MaxError=0.0 ShootFOV=90.0 VerticalAimOffset=0.0 MaxTolerableSpread=0.0 MinTolerableSpread=0.0 TolerableSpreadDist=100000.0 MaxSpreadDistFactor=1.0 [Bot Profile] Name=Axis Tracking Target DodgeProfileNames=Axis Tracking Strafe DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=0.5 DodgeProfileMinChangeTime=0.5 WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=_;_;_;_;_;_;_;_ WeaponSwitchTime=60.0 UseWeapons=false CharacterProfile=Axis Tracking Target SeeThroughWalls=false NoDodging=false NoAiming=true [Character Profile] Name=Axis Tracking Shooter MaxHealth=1.0 WeaponProfileNames=Shooter AR;;;;;;; MinRespawnDelay=0.000001 MaxRespawnDelay=0.000001 StepUpHeight=0.0 CrouchHeightModifier=1.0 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=0.0 MovementType=Base MaxSpeed=0.0 MaxCrouchSpeed=0.0 Acceleration=0.0 AirAcceleration=16000.0 Friction=0.0 BrakingFrictionFactor=0.0 JumpVelocity=0.0 Gravity=0.0 AirControl=0.0 CanCrouch=false CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=true InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Cylindrical MainBBHeight=2.0 MainBBRadius=1.0 MainBBHasHead=false MainBBHeadRadius=0.1 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=2.0 ProjBBRadius=1.0 ProjBBHasHead=false ProjBBHeadRadius=0.1 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=false AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=20.0 BlockSpawnDistance=4096.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=false BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=0.0 VerticalSpawnOffset=-1.0 [Character Profile] Name=Axis Tracking Target MaxHealth=150.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=0.000001 MaxRespawnDelay=0.000001 StepUpHeight=16.0 CrouchHeightModifier=1.0 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=0.0 MovementType=Base MaxSpeed=768.0 MaxCrouchSpeed=0.0 Acceleration=9000.0 AirAcceleration=16000.0 Friction=4.0 BrakingFrictionFactor=2.0 JumpVelocity=2000.0 Gravity=100.0 AirControl=1.0 CanCrouch=false CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=1.000 Y=1.000 Z=1.000 EnemyHeadColor=X=1.000 Y=0.000 Z=0.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Spheroid MainBBHeight=96.0 MainBBRadius=48.0 MainBBHasHead=false MainBBHeadRadius=0.1 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cuboid ProjBBHeight=256.0 ProjBBRadius=128.0 ProjBBHasHead=false ProjBBHeadRadius=0.1 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.0 JetpackFullFuelTime=100000.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=true JetpackThrust=6000.0 JetpackMaxZVelocity=2000.0 JetpackAirControlWithThrust=1.0 AbilityProfileNames=;;; HideWeapon=true AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=48.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=true BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=-48.0 [Dodge Profile] Name=Axis Tracking Strafe MaxTargetDistance=100000.0 MinTargetDistance=0.000001 ToggleLeftRight=false ToggleForwardBack=true MinLRTimeChange=10.0 MaxLRTimeChange=10.0 MinFBTimeChange=0.275 MaxFBTimeChange=0.475 DamageReactionChangesDirection=false DamageReactionChanceToIgnore=0.0 DamageReactionMinimumDelay=1.0 DamageReactionMaximumDelay=1.0 DamageReactionCooldown=0.1 DamageReactionThreshold=0.0 DamageReactionResetTimer=0.1 JumpFrequency=0.0 CrouchInAirFrequency=0.0 CrouchOnGroundFrequency=0.0 TargetStrafeOverride=Ignore TargetStrafeMinDelay=0.125 TargetStrafeMaxDelay=0.25 MinProfileChangeTime=0.0 MaxProfileChangeTime=0.0 MinCrouchTime=0.3 MaxCrouchTime=0.6 MinJumpTime=0.3 MaxJumpTime=0.6 LeftStrafeTimeMult=100.0 RightStrafeTimeMult=100.0 StrafeSwapMinPause=0.0 StrafeSwapMaxPause=0.0 BlockedMovementPercent=0.0 BlockedMovementReactionMin=0.0 BlockedMovementReactionMax=0.0 [Weapon Profile] Name=Shooter AR Type=Hitscan ShotsPerClick=1 DamagePerShot=10.0 KnockbackFactor=4.0 TimeBetweenShots=0.07 Pierces=false Category=FullyAuto BurstShotCount=1 TimeBetweenBursts=0.5 ChargeStartDamage=10.0 ChargeStartVelocity=X=500.000 Y=0.000 Z=0.000 ChargeTimeToAutoRelease=2.0 ChargeTimeToCap=1.0 ChargeMoveSpeedModifier=1.0 MuzzleVelocityMin=X=2000.000 Y=0.000 Z=0.000 MuzzleVelocityMax=X=2000.000 Y=0.000 Z=0.000 InheritOwnerVelocity=0.0 OriginOffset=X=0.000 Y=0.000 Z=0.000 MaxTravelTime=5.0 MaxHitscanRange=100000.0 GravityScale=1.0 HeadshotCapable=false HeadshotMultiplier=2.0 MagazineMax=30 AmmoPerShot=1 ReloadTimeFromEmpty=0.3 ReloadTimeFromPartial=0.3 DamageFalloffStartDistance=100000.0 DamageFalloffStopDistance=100000.0 DamageAtMaxRange=1.0 DelayBeforeShot=0.0 HitscanVisualEffect=Tracer ProjectileGraphic=Ball VisualLifetime=0.07 WallParticleEffect=None HitParticleEffect=None BounceOffWorld=false BounceFactor=0.0 BounceCount=0 HomingProjectileAcceleration=0.0 ProjectileEnemyHitRadius=1.0 CanAimDownSight=false ADSZoomDelay=0.0 ADSZoomSensFactor=0.7 ADSMoveFactor=1.0 ADSStartDelay=0.0 ShootSoundCooldown=0.001 HitSoundCooldown=0.001 HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=4.0 RecoilNegatable=false DecalType=0 DecalSize=30.0 DelayAfterShooting=0.0 BeamTracksCrosshair=true AlsoShoot= ADSShoot= StunDuration=0.0 CircularSpread=true SpreadStationaryVelocity=0.0 PassiveCharging=false BurstFullyAuto=true FlatKnockbackHorizontal=0.0 FlatKnockbackVertical=0.0 HitscanRadius=0.0 HitscanVisualRadius=6.0 TaggingDuration=0.0 TaggingMaxFactor=1.0 TaggingHitFactor=1.0 ProjectileTrail=None RecoilCrouchScale=1.0 RecoilADSScale=1.0 PSRCrouchScale=1.0 PSRADSScale=1.0 ProjectileAcceleration=0.0 AccelIncludeVertical=true AimPunchAmount=0.0 AimPunchResetTime=0.05 AimPunchCooldown=0.5 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=true MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=30 CancelReloadOnKill=true FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=50.529999 ADSFOVScale=Vertical (1:1) ADSAllowUserOverrideFOV=true IsBurstWeapon=false ForceFirstPersonInADS=true ZoomBlockedInAir=false 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// Scilab Code Ex6.4: Page-196 (2006) clc; clear; m = 9.11e-031; // Electron Rest Mass , kg k = 1.38e-023; // Boltzmann constant, J/mol/K h = 6.626e-034; // Planck's constant, Js T = 300; // Room temperature, K m_e = 0.068*m; // Mass of electron, kg m_h = 0.56*m; // Mass of hole, kg E_g = 1.42*1.6e-019; // Energy band gap for GaAs, J n_i = 2*(2*%pi*k*T/h^2)^(3/2)*(m_e*m_h)^(3/4)*exp(-E_g/(2*k*T)); printf("\nThe Intrinsic carrier concentration of GaAs at 300 K = %1.0e per metre cube", n_i); // Result // The intrinsic carrier concentration of GaAs at 300 K = 3e+012 per metre cube
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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: Ashish Manatosh Barik & Shubham Lohakare // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in // function [varargout] = detectBRIEFDescriptors(srcImg, varargin) // This function is used for computing BRIEF descriptors using Star keypoints. // // Calling Sequence // [ a ] = detectBRIEFDescriptors(srcImg) // [ a ] = detectVRIEFDescriptors(srcImg, maxSize, responseThreshold, lineThresholdProjected, lineThresholdBinarized, suppressNonmaxSize, bytes, use_orientation ) // // Parameters // srcImg : Hyper of input image // maxSize : Choose the number of filters to be applied, the parameter value set the maximum size. // responseThreshold : To eliminate weak corners. // lineThresholdProjected : Harris of responses. // lineThresholdBinarized : Harris of sizes. // suppressNonmaxSize : Window size (n-by-n) to apply the non-maximal suppression. // bytes : legth of the descriptor in bytes, valid values are: 16, 32 (default) or 64. // use_orientation : sample patterns using keypoints orientation, disabled by default. // a : It is a struct consisting of 'Type'(Type of Feature) , 'Features'(descriptors) , 'NumBits', 'NumFeatures', 'KeyPoints', 'keypointsCount'. // // Description // For extracting keypoints(StarDetector) and computing descriptors. BRIEF which gives the shortcut to find binary descriptors with less memory, faster matching, still higher recognition rate. // // Examples // // with default values // [ a ] = imread("/images/b1.jpeg"); // [ b ] = imread("/images/b2.jpeg"); // stacksize("max); // [ c ] = detectBRIEFDescriptors(a); // [ d ] = detectBRIEFDescriptors(b); // [ e f ] = matchFeatures(c.Features, d.Features); // out = drawMatch(a, b, c.KeyPoints, d.KeyPoints, e, f); // // Examples // // user assigned values // [ a ] = imread("/images/b1.jpeg"); // [ b ] = imread("/images/b2.jpeg"); // stacksize("max); // [ c ] = detectBRIEFDescriptors(a, 45, 30, 10, 8, 5, 32, %f); // [ d ] = detectBRIEFDEscriptors(b, 45, 30, 10, 8, 5, 32, %f); // [ e f ] = matchFeatures(c.Features, d.Features); // out = drawMatch(a, b, c.KeyPoints, d.KeyPoints, e, f); // // Authors // Ashish Manatosh Barik, NIT Rourkela // Shubham Lohakare, NITK Surathkal srcMat = mattolist(srcImg) [lhs, rhs] = argn(0) if rhs > 8 then error(msprintf("Too many input arguments")) end if lhs > 1 then error(msprintf("Too many output arguments")) end select rhs case 1 then [a b c d e] = raw_detectBRIEFDescriptors(srcMat) case 8 then [a b c d e] = raw_detectBRIEFDescriptors(srcMat, varargin(1), varargin(2), varargin(3), varargin(4), varargin(5), varargin(6), varargin(7)) end varargout(1) = struct('Type','Brief features','Features',a,'NumBits',b,'NumFeatures',c,'KeyPoints',d,'keypointsCount',e); endfunction
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//find.. clc //soltuion //given P=110*1000//W d1=0.9//m r1=0.45//m d2=1.2//m r2=0.6//m v=20//m/s x=3.6//m u=0.3 s1=0.012 s2=0.012 rho=100//kg/m^3 //v=%pi*N1*d1/60*(1-s1)//m/s N1=20/0.0466//rpm //v*(1-s2)=%pi*N2*d2/60//m/s N2=19.76*60/(%pi*1.2)//rpm T=P*60/(2*%pi*N2) //since there is 5% friction Tn=1.05*T//net torque //since belt is to designed for 20% overload TN=1.2*Tn//N-m //let T1 and T2 be tneion on tight and slag side //TN=(T1-T2)*r2 //T1-T2=TN/r2=7000/N //sin(a)=(r2-r1)/x=2.4 deg a=(%pi/180)*2.4//rad q1=%pi-a//rad printf("the angle of contact is,%f rad \n",q1) //log(T1/T2)=u*q1=0.3*q1=0.918 //T2=T1/2.51//N T1=11636//N T2=4636//N //let b is width //m=A*rho=b*t*rho=15*b//kg/m //Tc=m*v^2=6000*b //T=T1+Tc=f*b*t //37500*b=11636+6000*b b=11636/(37500-6000)//m printf("the widht of belt is,%f m\n",b) L=%pi*(r1+r2)+2*x+(r1+r2)^2/x//m printf("the length of belt is,%f m",L)
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// Example 11.4 // Parallel Filter Network // From figure 11.9 ,Let us assume values for R ,omega and C for illustration R=50; C=0.01*10^-6; omega=50; s=%s; H_s= R/(R+1/(s*C)); // H(s)=I_C/I_in, can be found using current divider H_omega=horner(H_s,%i*omega) // Comparing this transfer function with first-order highpass filter we get K=1; omega_cutf=1/(R*C); disp(K,"Gain=") disp(omega_cutf,"Cutoff Frequency(rad/s)=")
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#Property Sensor Example #generate a table of enthalpy versus molar fractions $thermo = VirtualMaterials.Advanced_Peng-Robinson / -> $thermo thermo + WATER TRIETHYLENE_GLYCOL #generate WATER/TEG bubble temperature curve units Field s = Stream.Stream_Material() s.In.P = 1 atm s.In.VapFrac = 0.0 ps = Sensor.PropertySensor() s.Out -> ps.In ps.SignalType = H #generate enthalpy composition curve s.In.Fraction = 0.0 1.0 ps.Signal s.In.Fraction = 0.1 0.9 ps.Signal s.In.Fraction = 0.2 0.8 ps.Signal s.In.Fraction = 0.3 0.7 ps.Signal s.In.Fraction = 0.4 0.6 ps.Signal s.In.Fraction = 0.5 0.5 ps.Signal s.In.Fraction = 0.6 0.4 ps.Signal s.In.Fraction = 0.7 0.3 ps.Signal s.In.Fraction = 0.8 0.2 ps.Signal s.In.Fraction = 0.9 0.1 ps.Signal s.In.Fraction = 1.0 0.0 ps.Signal copy / paste / /RootClone.ps.Signal
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THE OPTIMIZATION ALGORITHM HAS CHANGED TO THE EM ALGORITHM. ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 0.518807D+00 2 -0.734398D-02 0.417537D-02 3 0.122186D-01 -0.165341D-03 0.277567D+00 4 0.954200D-03 -0.499743D-05 -0.257809D-02 0.229722D-02 5 0.757930D-03 0.115597D-03 0.189930D-02 -0.144705D-03 0.387483D-02 6 0.865595D-03 -0.319994D-04 0.575607D-03 0.257200D-04 0.734876D-05 7 -0.777403D-03 -0.870191D-04 0.160140D-02 -0.568155D-04 0.813034D-04 8 0.603400D-03 -0.229759D-05 -0.444992D-03 -0.741316D-04 -0.111647D-03 9 -0.132724D+00 0.223353D-01 0.143383D+00 -0.221550D-01 0.834904D-01 10 0.717646D-01 0.120013D-01 -0.276950D-01 0.678171D-03 0.173869D+00 11 0.233170D+00 0.124863D-01 0.149740D+00 0.323405D-02 0.415330D-01 12 -0.341604D+00 0.283889D-01 -0.776250D+00 0.697279D-01 -0.121733D-01 13 0.579856D-02 0.113923D-01 0.614804D-01 0.135172D-01 -0.247055D-01 14 -0.101383D-01 0.137447D-01 -0.719554D+00 -0.535611D-02 -0.466833D-01 15 -0.991036D+00 -0.682255D-01 0.188250D+00 0.185579D-01 -0.138853D+00 16 -0.492213D-01 -0.411986D-02 0.247590D-01 0.331700D-04 -0.386575D-02 17 0.848787D-03 -0.521406D-03 -0.915998D-03 0.353604D-03 -0.709461D-03 18 0.370605D+00 0.369775D-01 -0.796327D-02 0.235612D-01 0.326410D-01 19 0.483367D-01 0.415718D-02 0.173083D+00 -0.850745D-02 0.100898D-01 20 -0.396080D+00 0.602266D-01 -0.107301D+01 -0.120274D-01 -0.224720D-01 21 0.253201D-01 -0.343012D-02 -0.219649D+00 0.949120D-02 -0.367153D-02 22 -0.326404D-02 0.149956D-03 -0.125869D-02 -0.910312D-03 -0.708706D-03 23 -0.282006D-01 0.576074D-03 0.133922D-01 -0.842044D-02 0.629351D-04 24 0.243143D-02 -0.985670D-03 -0.257557D-02 0.271433D-03 -0.788845D-04 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 0.680365D-03 7 0.597267D-03 0.290546D-02 8 -0.160256D-03 -0.894246D-04 0.219941D-02 9 0.200034D-01 0.309771D-01 0.207051D-01 0.569768D+02 10 -0.279436D-01 -0.151599D-01 0.317801D-02 0.240566D+01 0.246359D+02 11 0.261500D-01 0.927623D-01 -0.362974D-01 0.129135D+01 0.732986D+00 12 0.117289D-01 -0.633055D-02 0.736481D-01 0.120103D+02 -0.292345D+00 13 0.394456D-01 0.840246D-01 -0.145896D-01 0.146992D+00 -0.109831D+01 14 -0.176518D-01 -0.386745D-01 0.204214D+00 -0.116090D+01 0.269302D+01 15 -0.568518D-02 -0.327828D-01 -0.963524D-01 -0.187172D+02 -0.157638D+02 16 0.111648D-02 0.217739D-02 0.128741D-02 0.155668D+01 -0.528420D+00 17 -0.867539D-04 -0.194403D-03 0.604306D-03 -0.198174D+00 -0.259585D-01 18 -0.452424D-01 -0.110094D+00 -0.909113D-02 0.288356D+01 0.251115D+01 19 -0.100584D-01 0.163254D-01 -0.928437D-03 -0.108762D+01 0.392380D+00 20 0.175019D-02 0.165923D-01 -0.128623D+00 -0.366899D+01 -0.376937D+00 21 0.110913D-01 -0.195751D-01 0.379707D-02 0.102251D+01 -0.144512D+00 22 -0.170391D-03 -0.631819D-04 0.138599D-03 -0.621350D-02 -0.511338D-02 23 0.155782D-02 0.338426D-02 0.191989D-02 0.858031D-01 -0.868725D-01 24 -0.342735D-04 -0.270238D-03 -0.478041D-03 -0.192273D-01 -0.107289D-01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 0.527825D+02 12 0.159136D+02 0.221805D+03 13 -0.395735D+01 -0.146233D+01 0.158138D+02 14 -0.679573D+01 0.172614D+02 -0.264608D+00 0.665820D+02 15 -0.405769D+01 -0.157550D+02 -0.107308D+01 -0.547554D+01 0.600886D+03 16 -0.305610D+00 -0.436346D+00 0.100489D+00 -0.303688D-01 0.168326D+01 17 0.154199D-01 0.722964D-01 -0.201847D-01 0.111198D+00 -0.244908D+01 18 -0.118869D+02 -0.796364D+01 -0.545312D+01 0.270781D+00 0.162659D+02 19 0.331545D+01 0.744145D+00 -0.191238D+01 -0.139333D+01 0.125794D+01 20 -0.121771D+01 -0.415830D+02 0.236542D+01 -0.273178D+02 0.308322D+02 21 -0.222706D+01 -0.117084D+01 0.109242D+01 0.148685D+01 -0.322788D+01 22 -0.613487D-01 0.825010D-01 -0.555274D-03 0.313120D-01 0.811410D-01 23 -0.102143D+00 0.291929D+00 0.154775D-01 0.295905D+00 -0.100869D+00 24 -0.455646D-02 -0.370277D-01 -0.200051D-01 -0.715617D-01 -0.835602D-01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 0.884775D+00 17 -0.584623D-01 0.260901D-01 18 -0.751799D+00 -0.537815D-01 0.226749D+03 19 -0.186975D+00 0.504552D-02 0.117629D+01 0.498883D+01 20 0.155253D+00 -0.118206D+00 0.819485D-01 -0.193142D+01 0.240673D+03 21 0.126020D+00 0.684163D-02 0.172019D+01 -0.457844D+01 -0.489010D+00 22 0.794403D-02 -0.999754D-03 -0.100501D+01 -0.742055D-02 0.220988D-01 23 0.199747D-02 0.464000D-02 -0.108398D+01 -0.165651D-02 0.273644D+01 24 0.209493D-02 0.115328D-03 0.407770D-01 0.138067D-01 -0.123492D+01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 0.569613D+01 22 -0.462647D-01 0.114018D-01 23 -0.112406D+00 0.131794D-01 0.439437D+00 24 0.155262D-01 -0.475470D-03 -0.393008D-01 0.154941D-01 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 1.000 2 -0.158 1.000 3 0.032 -0.005 1.000 4 0.028 -0.002 -0.102 1.000 5 0.017 0.029 0.058 -0.049 1.000 6 0.046 -0.019 0.042 0.021 0.005 7 -0.020 -0.025 0.056 -0.022 0.024 8 0.018 -0.001 -0.018 -0.033 -0.038 9 -0.024 0.046 0.036 -0.061 0.178 10 0.020 0.037 -0.011 0.003 0.563 11 0.045 0.027 0.039 0.009 0.092 12 -0.032 0.029 -0.099 0.098 -0.013 13 0.002 0.044 0.029 0.071 -0.100 14 -0.002 0.026 -0.167 -0.014 -0.092 15 -0.056 -0.043 0.015 0.016 -0.091 16 -0.073 -0.068 0.050 0.001 -0.066 17 0.007 -0.050 -0.011 0.046 -0.071 18 0.034 0.038 -0.001 0.033 0.035 19 0.030 0.029 0.147 -0.079 0.073 20 -0.035 0.060 -0.131 -0.016 -0.023 21 0.015 -0.022 -0.175 0.083 -0.025 22 -0.042 0.022 -0.022 -0.178 -0.107 23 -0.059 0.013 0.038 -0.265 0.002 24 0.027 -0.123 -0.039 0.045 -0.010 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 1.000 7 0.425 1.000 8 -0.131 -0.035 1.000 9 0.102 0.076 0.058 1.000 10 -0.216 -0.057 0.014 0.064 1.000 11 0.138 0.237 -0.107 0.024 0.020 12 0.030 -0.008 0.105 0.107 -0.004 13 0.380 0.392 -0.078 0.005 -0.056 14 -0.083 -0.088 0.534 -0.019 0.066 15 -0.009 -0.025 -0.084 -0.101 -0.130 16 0.046 0.043 0.029 0.219 -0.113 17 -0.021 -0.022 0.080 -0.163 -0.032 18 -0.115 -0.136 -0.013 0.025 0.034 19 -0.173 0.136 -0.009 -0.065 0.035 20 0.004 0.020 -0.177 -0.031 -0.005 21 0.178 -0.152 0.034 0.057 -0.012 22 -0.061 -0.011 0.028 -0.008 -0.010 23 0.090 0.095 0.062 0.017 -0.026 24 -0.011 -0.040 -0.082 -0.020 -0.017 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 1.000 12 0.147 1.000 13 -0.137 -0.025 1.000 14 -0.115 0.142 -0.008 1.000 15 -0.023 -0.043 -0.011 -0.027 1.000 16 -0.045 -0.031 0.027 -0.004 0.073 17 0.013 0.030 -0.031 0.084 -0.619 18 -0.109 -0.036 -0.091 0.002 0.044 19 0.204 0.022 -0.215 -0.076 0.023 20 -0.011 -0.180 0.038 -0.216 0.081 21 -0.128 -0.033 0.115 0.076 -0.055 22 -0.079 0.052 -0.001 0.036 0.031 23 -0.021 0.030 0.006 0.055 -0.006 24 -0.005 -0.020 -0.040 -0.070 -0.027 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 1.000 17 -0.385 1.000 18 -0.053 -0.022 1.000 19 -0.089 0.014 0.035 1.000 20 0.011 -0.047 0.000 -0.056 1.000 21 0.056 0.018 0.048 -0.859 -0.013 22 0.079 -0.058 -0.625 -0.031 0.013 23 0.003 0.043 -0.109 -0.001 0.266 24 0.018 0.006 0.022 0.050 -0.640 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 1.000 22 -0.182 1.000 23 -0.071 0.186 1.000 24 0.052 -0.036 -0.476 1.000
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$thermo = VirtualMaterials.NRTL/Ideal/HC . -> $thermo /thermo + 1,2-PROPYLENE_OXIDE METHANOL WATER 1,2-PROPYLENE_GLYCOL SULFURIC_ACID mycstr = KineticReactor.CSTR() mycstr.NumberRxn = 1 /mycstr.Rxn0.Formula = theRxn:1.0*'1,2-PROPYLENE GLYCOL'-1.0*!'1,2-PROPYLENE OXIDE'-1.0*WATER /mycstr.CustomEquationUnitSet = British /mycstr.Rxn0.ReactionRateEq = """ R = 1.987 k = 16.96E12*exp(-32400.0/(R*T)) r = k*rxnCmp['1,2-PROPYLENE_OXIDE'].Concentration/3600.0 """ units British /mycstr.In.T = 75 F /mycstr.In.Fraction = 43.04 71.87 802.8 0 0 /mycstr.In.MassFlow = None /mycstr.In.MoleFlow = 917.7099999999999 /mycstr.Out.T = 613 R /mycstr.DeltaP.DP = 0 /mycstr.Volume.Volume = 300 gallon /mycstr.In.P = 200 kPa mycstr.Out mycstr.OutQ #Solve for energy now /mycstr.Out.T = None /mycstr.OutQ.Energy = 0 mycstr.Out mycstr.OutQ copy /mycstr paste / mycstrClone.Out mycstrClone.OutQ
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//To estimate power lost in friction clc //Given: D=150/1000,R=D/2 //m N=100 //rpm W=20*1000 //N mu=0.05 //Solution: //Calculating the angular speed of the shaft omega=2*%pi*N/60 //rad/s //Calculating the total frictional torque for uniform pressure distribution T=2/3*mu*W*R //N-m //Calculating the power lost in friction P=T*omega //W //Results: printf("\n\n Power lost in friction, P = %.1f W.\n\n",P)
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//Example 8_6 page no:308 clc; R=100; L=5; C=100*10^-6; fr=1/(2*%pi*sqrt(L*C)); Q=2*%pi*7.12*5/100; BW=fr/Q; disp(BW,"bandwidth of the circuit is (in Hz)");
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clc //ex10.4 V_ss=24; R=1.2*10^3; R_L=6*10^3; //by grouping linear elements together on left side of diode V_T=V_ss*R_L/(R+R_L); //thevenin voltage //zeroing sources R_T=1/((1/R)+(1/R_L)); //thevenin resistance //load-line equation is V_T+R_T*i_D+V_D=0 //locating the operating point V_D=-10; V_L=-V_D; //load voltage I_s=(V_ss-V_L)/R; //source current //diode characteristic cannot be plotted printf(" All the values in the textbook are approximated hence the values in this code differ from those of Textbook") disp(V_L,'load voltage in volts') disp(I_s,'source current in amperes') //milli-10^-3
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//Chapter-10,Example10_25,pg10_65 Po=33.73*10^3 P=4 Vl=400 f=50 Nfl=1440 pf=0.8 Ml=1.3*10^3 Ns=120*f/P s=(Ns-Nfl)/Ns fr=s*f Pm=Po+Ml Pc=Pm*s/(1-s) Pcp=Pc/3//copper loss per phase P2=Pc/s Sl=1.4*10^3 Pi=P2+Sl n=Po*100/Pi Il=Pi/(sqrt(3)*Vl*pf) printf("slip at full load\n") printf("s=%.3f \n",s) printf("rotor frequency\n") printf("fr=%.f Hz\n",fr) printf("rotor copper loss per phase\n") printf("Pcp=%.2f W\n",Pcp) printf("total copper loss\n") printf("Pc=%.2f W\n",Pc) printf("efficiency at full load\n") printf("n=%.2f \n",n) printf("line current drawn\n") printf("Il=%.3f A\n",Il)
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//example 6 //work required to fill the tank clear clc T1=17+273 //initial temperature of tank in Kelvins sT1=6.83521 //specific entropy in kJ/kg-K R=0.287 //gas constant in kJ/kg-K P1=100 //initial pressure in kPa P2=1000 //final pressure in kPa sT2=sT1+R*log(P2/P1) //specific entropy at temperature T2 in kJ/kg-K T2=555.7 //from interplotation V1=0.04 //volume of tank in m^3 V2=V1 //final volume is equal to initial volume m1=P1*V1/(R*T1) //initial mass of air in tank in kg m2=P2*V2/(R*T2) //final mass of air in tank in kg Min=m2-m1 //in kg u1=207.19 //initial specific heat of enthalpy in kJ/kg u2=401.49 //final specific heat of enthalpy in kJ/kg hin=290.43 //in kJ/kg W12=Min*hin+m1*u1-m2*u2 //work required to fill the tank in kJ printf("\n hence,the total amount of work required to fill the tank is W12=%.1f m/s.\n",W12)
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//ex 6.6.c clc; N=100//ASSUMING THE N=100 p=(N)/(2*N)//AS LIMIT N TENDS TO INFINITY HENCE THE EQUATION disp(p); disp('AS THE POWER OF THE SIGNAL IS FINITE HENCE THE FOLLOWING SIGNALIS POWER SIGNAL');
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clc clear //Input data p=[1,9]//Pressures in ata T=[25+273,1250+273]//Minimum and maximum temperatures in K n=0.83//Compressor and turbine efficiencies Cp=0.24//Specific heat at constant pressure in kJ/kg.K g=1.4//Ratio of specific heats x=0.65//Cycle with 65% regeneration //Calculations //(a)Without regeneration ip=sqrt(p(1)*p(2))//Intermediate pressure in ata T2=(T(1)*(ip/p(1))^((g-1)/g))//Temperature in K T3=(T(1)+((T2-T(1))/n))//Temperature in K T4=T(1)//Temperature in K T5=T2//Temperature in K T6=T3//Temperature in K T7=T(2)//Temperature in K T8=T7/(ip/p(1))^((g-1)/g)//Temperature in K T9=(T7-((T7-T8)*n))//Temperature in K T10=T7//Temperature in K T11=T8//Temperature in K T12=T9//Temperature in K Wc=(2*Cp*(T3-T(1)))//Work of compression in kcal/kg of air We=(2*Cp*(T7-T8))//Work of expansion in kcal/kg of air NW=(We-Wc)//Net output in kcal/kg of air qi=(Cp*((T7-T6)+(T10-T9)))//Heat input in kcal/kg of air nth=(NW/qi)*100//Thermal efficiency in percent //(b)Cycle efficiency with 65% regeneration Tg=(T6+(x*(T12-T6)))//Temperature in K q=(Cp*((T7-Tg)+(T10-T9)))//Heat input in kcal/kg of air nthi=(NW/q)*100//Thermal efficiency in percent //(c)Cycle efficiency with ideal regeneration Eg=T12//Temperature in K qa=(2*Cp*(T7-Eg))//Heat added in kcal/kg of air nthii=(NW/qa)*100//Thermal efficiency in percent //Output printf('(a)Cycle efficiency without regeneration is %3.1f percent \n (b)Cycle efficiency with 65 percent regeneration is %3.1f percent \n (c)Cycle efficiency with ideal regeneration is %3.0f percent',nth,nthi,nthii)
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CONST_GAUSS = 1 / sqrt(2*%pi) function y = densGauss(mu,sigma,x) xCR = (x - mu) / sigma // x centré et réduit par mu, sigma y = CONST_GAUSS/sigma * exp( - xCR.^2 / 2 ) endfunction // appel de la fonction //xmin = -4 //xmax = 4 //mu = 0 //sigma = 1 //x = linspace(xmin, xmax) //plot(x, densGauss(mu, sigma, x)) ////La loi binomiale //n = 10 //p = .3 //valeurs = 0:n //probas = binomial(p, n) //plot2d3(valeurs, probas) // représentation en bâtons function [probas, valeurs] = loiUnif(n) // retourne les probabiltés de la loi uniforme entre 1 et n // optionnellement les valeurs prises, soit 1:n probas = 1/n * ones(1, n) // ones(lignes, colonnes) retourne une matrice remplie de 1 valeurs = 1:n endfunction //// Appel de la fonction //n = 6 //[probas, valeurs] = loiUnif(n) //plot2d3(valeurs, probas) // représentation en bâtons function [probas, valeurs] = loiGeom(p, n) // retourne les probabiltés de la loi géométrique de paramètre p entre les valeurs 1 à n // optionnellement les valeurs prises, soit 1:n k = 1:n q = 1 - p probas = p * q.^(k-1) valeurs = k endfunction //// Appel de la fonction //n = 20 //p = 0.3 //[probas, valeurs] = loiGeom(p, n) //plot2d3(valeurs, probas) // représentation en bâtons function [probas, valeurs] = loiPois(lambda, n) // retourne les probabiltés de la loi de Poisson de paramètre lambda entre les valeurs 1 à n // optionnellement les valeurs prises, soit 0:n k = 0:n probas = exp(-lambda) * lambda.^k ./ factorial(k) valeurs = k endfunction //// Appel de la fonction //n = 20 //lambda = 5 //[probas, valeurs] = loiPois(lambda, n) //plot2d3(valeurs, probas) // représentation en bâtons function laMatrice = uneMatrice() laMatrice = ones(4, 5) laMatrice(:) = 1:20 endfunction
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funcprot(0); // Find primitive polynomials for Galois field // pr = primpoly(m) computes one degree-M primitive polynomial for gf(2^m). // // pr = primpoly(m, option) computes primitive polynomial(s) for GF(2^m). // option = 'min' find one primitive polynomial of minimum weight. // option = 'max' find one primitive polynomial of maximum weight. // option = 'all' find all primitive polynomials. // option = L find all primitive polynomials of weight L. // // pr = primpoly(m, option, 'nodisplay') or pr = primpoly(m, 'nodisplay') disables printing of primitive polynomials // // The output vector is the decimal equivalent of the primitive polynomials. function pr = primpoly(m,fd,display) // Input checking if (argn(2)<1 | argn(2)>3) then error('Incorrect number of inputs. Number of inputs should be between 1 and 3') end // Check m if (isempty(m) | ~isreal(m) | m<1 | m>16 | (floor(m)~=m) | (size(m(:),1) * size(m(:),2)) ~= 1 ) then error('m must be a single real integer between 1 and 16'); end // Check fd and display // no specified fd or display if (argn(2) == 1) then fd = 'one'; display = ''; // 2 inputs specified elseif (argn(2)==2) then if (type(fd)==10) then fd = convstr(fd,"l"); if (~( strcmp(fd,'min') | strcmp(fd,'max') | strcmp(fd,'all') | strcmp(fd,'nodisplay') | strcmp(fd,'one') )) then error('Invalid Input String'); end if (fd == 'nodisplay') then display = 'nodisplay'; fd = 'one'; else display = ''; end elseif ( isempty(fd) | floor(fd)~=fd | ~isreal(fd) | prod(size(fd))~=1 | fd<2 | fd>m+1 ) then error('Invalid Input Option') else display = ''; end elseif (argn(2) > 2) then if (type(display)==10) then if (~(strcmp(display,'nodisplay'))) then error('Invalid Input String') end else error('Input must be in string format') end end // Load the poly values and assign if (m==1) then prims = poly1; elseif (m==2) then prims = poly2; elseif(m==3) then prims = poly3; elseif(m==4) then prims = poly4; elseif(m==5) then prims = poly5; elseif (m==6) then prims = poly6; elseif(m==7) then prims = poly7; elseif(m==8) then prims = poly8; elseif(m==9) then prims = poly9; elseif (m==10) then prims = poly10; elseif(m==11) then prims = poly11; elseif(m==12) then prims = poly12; elseif(m==13) then prims = poly13; elseif(m==14) then prims = poly14; elseif(m==15) then prims = poly15; else prims = poly16; end // Calculate weights of the polynomials polyweight =zeros(length(prims),1); for i = 1:length(prims) polyweight(i) = sum(strtod(strsplit(dec2bin(prims(i))))); end // Find specified primitive polynomials, 'one' is default case. if (fd == 'one') then // the defaults from gf.m p_vec = [3 7 11 19 37 67 137 285 529 1033 2053 4179 8219 17475 32771 69643]; pr = p_vec(m); elseif (fd =='all') then pr = prims'; elseif (fd =='min') then pr=min(prims); elseif (fd =='max') then pr=max(prims); elseif (or(type(fd)==[1 5 8])) then //Check weight L if ( ~isreal(fd) | fd<1 | floor(fd)~=fd | prod(size(fd))~=1) then error('L must be a real,positive scalar '); end // Find the primitive polynomials of weight L polydec=find(polyweight==fd); if (~isempty(polydec)) then pr=prims(polydec)'; else pr=[]; end end if (isempty(pr)) then warning(('No primitive polynomial satisfies the given constraints')); end; if (~isempty(pr) & ~(display=='nodisplay')) then disp(' ') disp('Primitive polynomial(s) = ') disp(' ') disp_primpoly(pr) end endfunction // Display the polynomials function disp_primpoly(pr) for (j = 1:length(pr)) pr_temp = pr(j); pr_temp = strtod(strsplit(dec2bin(pr_temp))); pr_temp = pr_temp'; pr_temp = pr_temp(:,$:-1:1); s=find(pr_temp); if (s(1)==1) then init_str='1'; else init_str='0'; end s(1)=[]; s=s-1; if (~isempty(s)) then s = s(:,$:-1:1); str1 = []; for k = 1:length(s) str1 = [str1, msprintf('D^%d+',s(k))]; end str1 = [str1 init_str]; if (str1($)=='0') then str1($-1:$)=[]; end disp(str1) end end endfunction
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function [ok,x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16,x17,x18]=getvalue(desc,labels,typ,ini) // getvalues - xwindow dialog for data acquisition //%Syntax // [ok,x1,..,x11]=getvalue(desc,labels,typ,ini) //%Parameters // desc : column vector of strings, dialog general comment // labels : n column vector of strings, labels(i) is the label of // the ith required value // typ : list(typ1,dim1,..,typn,dimn) // typi : defines the type of the ith required value // if may have the following values: // 'mat' : stands for matrix of scalars // 'col' : stands for column vector of scalars // 'row' : stands for row vector of scalars // 'vec' : stands for vector of scalars // 'str' : stands for vector of strings // 'lis' : stands for list // 'pol' : stands for polynomials // 'r' : stands for rational // dimi : defines the size of the ith required value // it must be // - an integer or a 2-vector of integers (-1 stands for // arbitrary dimension) // - an evaluatable character string // ini : n column vector of strings, ini(i) gives the suggested // response for the ith required value // ok : boolean ,%t if ok button pressed, %f if cancel button pressed // xi : contains the ith required value if ok=%t //%Description // getvalues macro encapsulate x_mdialog function with error checking, // evaluation of numerical response, ... //%Remarks // All correct scilab syntax may be used as responses, for matrices // and vectors getvalues automatically adds [ ] around the given response // before numerical evaluation //%Example // labels=['magnitude';'frequency';'phase ']; // [ampl,freq,ph]=getvalue('define sine signal',labels,.. // list('vec',1,'vec',1,'vec',1),['0.85';'10^2';'%pi/3']) // //%See also // x_mdialog, x_dialog //! [lhs,rhs]=argn(0) n=prod(size(labels)) if lhs<>n+2&lhs<>n+1 then error(41),end if size(typ)<>2*n then error('typ : list(''type'',[sizes],...)') end x1=[];x2=[];x3=[];x4=[];x5=[];x6=[];x7=[];x8=[];x9=[];x10=[];x11=[]; x12=[];x13=[];x14=[]; x15=[];x16=[];x17=[];x18=[]; if rhs==3 then ini=emptystr(n,1),end ok=%t while %t do str1=x_mdialog(desc,labels,ini) if str1==[] then ok=%f,str=[];break,end str=str1; for k=1:n cod=str2code(str(k)) spe=find(cod==99) if spe<>[] then semi=str2code(';') cod(spe)=semi*ones(spe') str(k)=code2str(cod) end end nok=0 for k=1:n select part(typ(2*k-1),1:3) case 'mat' ierr=execstr('v=['+str(k)+']','errcatch'); if ierr<>0 then nok=-k;break,end if type(v)<>1 then nok=-k,break,end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end [mv,nv]=size(v) ssz=string(sz(1))+' x '+string(sz(2)) if mv*nv==0 then if sz(1)>=0&sz(2)>=0&sz(1)*sz(2)<>0 then nok=k,break,end else if sz(1)>=0 then if mv<>sz(1) then nok=k,break,end,end if sz(2)>=0 then if nv<>sz(2) then nok=k,break,end,end end case 'vec' ierr=execstr('v=['+str(k)+']','errcatch') if ierr<>0 then nok=-k;break,end if type(v)<>1 then nok=-k,break,end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end ssz=string(sz(1)) nv=prod(size(v)) if sz(1)>=0 then if nv<>sz(1) then nok=k,break,end,end case 'pol' ierr=execstr('v=['+str(k)+']','errcatch'); if ierr<>0 then nok=-k;break,end if type(v)>2 then nok=-k,break,end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end ssz=string(sz(1)) nv=prod(size(v)) if sz(1)>=0 then if nv<>sz(1) then nok=k,break,end,end case 'row' ierr=evstr('v=['+str(k)+']','errcatch'); if ierr<>0 then nok=-k;break,end if type(v)<>1 then nok=-k,break,end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end if sz(1)<0 then ssz='1 x *' else ssz='1 x '+string(sz(1)) end [mv,nv]=size(v) if mv<>1 then nok=k,break,end, if sz(1)>=0 then if nv<>sz(1) then nok=k,break,end,end case 'col' ierr=execstr('v=['+str(k)+']','errcatch'); if ierr<>0 then nok=-k;break,end if type(v)<>1 then nok=-k,break,end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end if sz(1)<0 then ssz='* x 1' else ssz=string(sz(1))+' x 1' end [mv,nv]=size(v) if nv<>1 then nok=k,break,end, if sz(1)>=0 then if nv<>sz(1) then nok=k,break,end,end case 'str' s=str1(k) spe=find(str2code(str1(k))==99) spe($+1)=length(s)+1 v=[];k1=1 for kk=1:size(spe,'*') v(kk,1)=part(s,k1:spe(kk)-1) k1=spe(kk)+1 end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end ssz=string(sz(1)) nv=prod(size(v)) if sz(1)>=0 then if nv<>sz(1) then nok=k,break,end,end case 'lis' ierr=execstr('v='+str(k),'errcatch'); if ierr<>0 then nok=-k;break,end if type(v)<>15& type(v)<>16 then nok=-k,break,end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end ssz=string(sz(1)) nv=size(v) if sz(1)>=0 then if nv<>sz(1) then nok=k,break,end,end case 'r ' ierr=execstr('v=['+str(k)+']','errcatch'); if ierr<>0 then nok=-k;break,end if type(v)<>16 then nok=-k,break,end if h(1)<>'r' then nok=-k,break,end sz=typ(2*k);if type(sz)==10 then sz=evstr(sz),end [mv,nv]=size(v(2)) ssz=string(sz(1))+' x '+string(sz(2)) if mv*nv==0 then if sz(1)>=0&sz(2)>=0&sz(1)*sz(2)<>0 then nok=k,break,end else if sz(1)>=0 then if mv<>sz(1) then nok=k,break,end,end if sz(2)>=0 then if nv<>sz(2) then nok=k,break,end,end end else error('type non gere :'+typ(2*k-1)) end execstr('x'+string(k)+'=v') end if nok>0 then x_message(['answer given for '+labels(nok); 'has invalid dimension: '; 'waiting for dimension '+ssz]) ini=str elseif nok<0 then if ierr==0 then x_message(['answer given for '+labels(-nok); 'has incorrect type :'+ typ(-2*nok-1)]) else x_message(['answer given for '+labels(-nok); 'is incorrect see error message in scilab window']) end ini=str else break end end if lhs==n+2 then execstr('x'+string(lhs-1)+'=str') end
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clear; close; clc; //cos(%pi*n/4) N0=8; w0=2*%pi/N0; n=-8:8; x=cos(%pi*n/4); subplot(2,1,1) xtitle('x[n]','n') plot2d3(n,x); plot(n,x,'r.'); for k=-6:6 c(k+7)=0; for n=0:7 c(k+7)=c(k+7)+ (1/8)*(x(n+1))*(%e)^(%i*w0*k*n); end end k=-6:6; subplot(2,1,2) xtitle('|ck|','k') plot2d3(k,abs(c)); plot(k,c,'r.') //cos(%pi*n/3)+sin(%pi*n/4) N0=24; w0=2*%pi/N0; n=-24:24; x=cos(%pi*n/3)+sin(%pi*n/4); figure subplot(2,1,1) xtitle('x[n]','n') plot2d3(n,x); plot(n,x,'r.--'); for k=-24:24 c(k+25)=0; for n=0:23 c(k+25)=c(k+25)+ (1/N0)*(x(n+1))*(%e)^(%i*w0*k*n); end end k=-24:24; subplot(2,1,2) xtitle('|ck|','k') plot2d3(k,abs(c)); plot(k,c,'r.') //[cos(%pi*n/8)]^2 N0=8; w0=2*%pi/N0; n=-8:8; x=[cos(%pi*n/8)]^2; clear c; figure subplot(2,1,1) xtitle('x[n]','n') plot2d3(n,x); plot(n,x,'r.--'); for k=-6:6 c(k+7)=0; for n=0:7 c(k+7)=c(k+7)+ (1/N0)*(x(n+1))*(%e)^(%i*w0*k*n); end end k=-6:6; subplot(2,1,2) xtitle('|ck|','k') plot2d3(k,abs(c)); plot(k,c,'r.') disp("fourier series is x[n]=1/N0*sum(c(k)*e^%i*w0*n*k)");
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clc clear //Input data A=2*10^-6;//The cross section area of a uniform rod in m^2 t=20;//The change in temperature in degree centigrade y=10^11;//The youngs modulus of the rod in newtons/m^2 a=12*10^-6;//The coefficient of linear expansion of rod in per degree centigrade //Calculations F=y*a*t*A;//The force required to prevent it from expanding in newtons E=(1/2)*y*a*t*a*t;//The energy stored per unit volume in j/m^3 //Output printf('The force required to prevent the rod from expanding is %3.0f newtons \n The Energy stored per unit volume is %3.0f j/m^3',F,E)
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org=imread("C:\Users\Poonam\Documents\DIP\Practicals\kidney1.jpg") A = 180 B = 250 mod=[] [m n] = size(org) for i = 1:m for j=1:n if (org(i,j)>=A & org(i,j)<=B) //mod(i,j)= 255 mod(i,j) = org(i,j) else mod(i,j) = 0 end end end figure imshow(org) figure imshow(uint8(mod))
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clc h_l=355.988; //kJ/kg s_l=0.5397; //kJ/kg K s_f=0.0808; //kJ/kg K s_g=0.6925; //kJ/kg K h_f=29.98; //kJ/kg h_g=329.85; //kJ/kg p1=4; //bar p2=0.04; //bar v_f2=76.5*10^(-6); //m^3/kg h1=2789.9; //kJ/kg s1=6.4406; //kJ/kg h_f=121.5; //kJ/kg h_fg=2432.9; //kJ/kg s_f=0.432; //kJ/kg K s_fg2=8.052; //kJ/kg K p4=15; //bar p3=0.04; //bar v_f=0.0001; //kJ/kg K h_f4=123; //kJ/kg h_m=254.88; //kJ/kg h_fn=29.98; //kJ/kg h_fk=29.988; //kJ/kg disp("(i) Overall thermal efficiency ") m=(h1-h_f4)/(h_m-h_fn); //The amount of mercury circulating for 1kg of steam in the bottom cycle Q1=m*(h_l-h_fk); //total x2=(s1-s_f)/(s_fg2); h2=h_f+x2*h_fg; W_T=m*(h_l-h_m)+(h1-h2); //total n_overall=W_T/Q1; //W_P may be neglected disp("n_overall =") disp(n_overall) disp("(ii) Flow through mercury turbine=") A=48000; //kg/h m_Hg=m*A; disp(m_Hg) disp("kg/h") disp("(iii) Useful work in binary vapour cycle=") W_total=A*W_T/3600; disp(W_total) disp("kW") disp("(iv) Overall efficiency under new conditions ") n_Hg=0.84; n_steam=0.88; W_Hg=n_Hg*101.1; h_m1=h_l-W_Hg; m1=(h1-h_f4)/(h_m1-h_fn); h_g=3037.6; //kJ/kg s_g=6.918; //kJ/kg s_f2=0.423; //kJ/kg K s_fg2=8.052; //kJ/kg K Q1=m1*(h_l - h_fk) + (h_g-h1); x2=(s_g-s_f2)/s_fg2; h2=h_f+x2*h_fg; W_steam=n_steam*(h_g-h2); W_total=m1*W_Hg + W_steam; n_overall=W_total/Q1; disp("n_overall") disp(n_overall)
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4_2.sce
clear clc //initialisation of variables r= 53.4 T= 60 //F h= 29.7 //in of mercury sm= 13.6 w= 62.4 //lb/ft^3 d= 1.5 //in Qin= 2 //cuses g=32.2 //ft/s^2 //CALCULATIONS W= h*sm*w/(r*(460+T)*12) dP= 0.75*w/(12*W) Q= sqrt(2*g*dP)*%pi*d^2/(4*144) W= Q*W*60 Cd= Qin/W //RESULTS printf ('coefficient of discharge = %.2f ',Cd)
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Ex4_16.sce
//chapter-4 page 152 example 4.16 //============================================================================== clc; clear; n=120*(%pi);//Intrinsic Impedance a=3;//Length of Rectangular Waveguide in cm b=2;//Width of Rectangular Waveguide in cm f=10^10;//Frequency in Hz c=3*10^10;//Velocity of Light in cm/sec //CALCULATION wc=((2*a*b)/sqrt(a^2+b^2));//Cutoff wavelength in TM11 mode in cms w0=(c/f);//Free space wavelength in cms ZTM=(n*sqrt(1-(w0/wc)^2));//Characteristic Wave Impedance in ohms //OUTPUT mprintf('\nCharacteristic Wave Impedance is ZTM=%2.3f ohms',ZTM); //=========================END OF PROGRAM================================= //Note: Check the given answer once it is wrong //currect answer is 163.242 ohms
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// // This file is part of Arduino toolbox // Copyright (C) 2012-2012 - DEMOSCIENCES - Alain CAIGNOT // // 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 // // function res=close_serial(nHandle) res=call("close_serial",nHandle,1,"i","out",[1,1],2,"i") endfunction
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h2 = 2716.2; hf = 844.89; hfg = 1947.3; x1 = (h2-hf)/hfg; h3 = 2685.5; x4 = (h3-hf)/hfg; disp(x1,"The quality of steam in pipe line is") disp("%",100-(x4*100),"Maximum moisture is")
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16_1.sci
//16.1 clc; disp('For star connected load') Il=50000/((3^0.5)*440*0.85); printf("\nLine current=%.2f A",Il) Iph=Il; printf("\nPhase current=%.2f A",Iph) disp('For Delta connected load') Il=50000/((3^0.5)*440*0.85); printf("\nLine current=%.2f A",Il) Iph=Il/(3^0.5); printf("\nPhase current=%.2f A",Iph)
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appucrossroads/Scilab-TBC-Uploads
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10_8.sce
//To find the power required clc //Given: d0=55,D2=60,R2=D2/2,D1=90,R1=D1/2 //mm p=10/1000 //m W=400 //N mu=0.15 v=6 //Cutting speed, m/min //Solution: //Calculating the mean diameter of the screw d=d0-p/2 //mm //Calculating the helix angle alpha=p/(%pi*d) //radians //Calculating the force required at the circumference of the screw phi=atan(mu) //Limiting angle of friction, radians P=W*tan(alpha+phi) //N //Calculating the mean radius of the flat surface R=(R1+R2)/2 //mm //Calculating the torque required T=(P*d/2+mu1*W*R)/1000 //N-m //Calculating the speed of the screw N=v/p //rpm //Calculating the angular speed omega=2*%pi*N/60 //rad/s //Calculating the power required to operate the nut Power=T*omega/1000 //Power required to operate the nut, kW //Results: printf("\n\n Power required to operate the nut = %.3f kW.\n\n",Power)
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Ex19_2.sce
//Variable declaration: //From example 19.1: T1 = 24 //Outside surface temperature ( C) Ri = 0.0191 //Insulation resistance (K/W) Q = 1383 //Revised heat transfer rate (Btu/h) //Calculation: T2 = T1-Q*Ri //Temperature at outer surface of insulation ( C) //Result: printf("The temperature at the outer surface of the insulation is : %.1f C .",T2)
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clc clear disp('example 4 2') l=100;//connected load md=80;//maximum demand wt=0.6; //working time c=6000; //constant cost t=700; //cost on per kW re=1.8;//rate ec=l*wt*8760//electricity consumption per year teb=c+md*t+re*ec //total electricity bill per year printf(" energy consumption %dkWh \n total electricity bill per year Rs%d",ec,teb)
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//2.56 clc; R1=(30/10*10^-3)-1000; printf("External resistance required =%.3f ohm",R1) Id=30*10^3/((2*10^3)+(100*10^3)) printf("\nDark current =%.2f mA",Id)
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//Marina Montes Partida function simetrica() c=input("introduce el numero de columnas: "); r=input("introduce el numero de renglones: "); if(c==r) for i=1:c for j=1:r m(i,j)=input("introduce el elemento de la posicion "+string(i)+","+string(j)+": "); end end disp(m); for pibc=1:c p=m(1,1); for pibr=1:r if (pibc==1) then m(pibc,pibr)=m(pibc,pibr)/p; else end end end disp(m); else input("la matriz no es simetrica"); end endfunction
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c=1.524;//chord length of airfoil(meter) h=6096;//standard altitude(meter) a=5*%pi/180;//angle of attack in radian D=0.654;//density at standard altitude of 6096 meter,Kg/m^3 T=248.6;//temperature at standard altitude of 6096 meter in kelvin R=287 ;//gas constant,J/Kg.K y=1.4; //specific heat ratio for air //for part a (mach no 3): M=3;//Mach no. q=D*((y*R*T)^0.5*M)^2/2 //dynamic pressure Cl=4*a/(M^2-1)^0.5//lift coefficient Cd=4*a^2/(M^2-1)^0.5//wave drag coefficient //for part b(mach no 2): M1=2;//Mach no. q1=D*((y*R*T)^0.5*M1)^2/2 //dynamic pressure Cl1=4*a/(M1^2-1)^0.5//lift coefficient Cd1=4*a^2/(M1^2-1)^0.5//wave drag coefficient
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clear; clc ; close ; t=0:0.1:2; x1=2*exp(-2*t); subplot(1,2,1); plot2d4(t,x1); xlabel('t'); ylabel( 'x(t)'); title( 'DISCRETE TIME PLOT'); subplot(1,2,2) plot2d3(t,x1)
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//Chapter-2,Example2_2_2,pg 2-10 a=6*10^-6 //width of slit n=1 //for first minimum wavelength=6000*10^-10 //wavelength of light angle=2*asind(n*wavelength/a) //angular seperation printf('\nThe angular seperation between first order minima is angle = %.4f degree\n',angle)
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// Example 13.11 // Zero-State AC Response t=0:0.01:10 s=%s; H_s=(s+8)/(s+4)^2;// Network transfer function V_s=(50*s)/(s^2+64); // Laplace transform of voltage source I_s=H_s*V_s; pfe=pfss(I_s); I_N_s=pfe(2); // Natural response in s-domain // Taking inverse laplace transform of pfe(2) we get, i_N=-exp(-4*t)-10*t.*exp(-4*t); // For Forced response component V_S=complex(50,0); // Voltage source phasor H=horner(H_s,%i*8); I=H*V_S; I_m=abs(I); phase_I=atan(imag(I),real(I)); i_F=I_m*cos(8*t+phase_I); i=i_N+i_F; plot(t,i); xlabel('t') ylabel('i(t)') title('Zero-state ac Response Waveform')
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//Driver=("Rec"); clf(); clear; //Definition des paramètres initiaux SR = 44100; B = 0.001; f = 110; TF = 1; xo = 0.1; co = 1; rp = [0.3, 0.7]; loss = [100, 10; 1000, 8]; //pas de dicretisation k=1/SR; //déclaration des paramètres gama=2*f; kappa=(2*f*sqrt(B))/%pi; N=50; // Il faut h >= sqrt(((gama^2)*(k^2)+sqrt((gama^4)*(k^4)+16*(kappa^2)*(k^2)))/2); h=1/N; ksi1=((-gama^2)+sqrt((gama^4)+4*(kappa^2)*(loss(1,1)*2*%pi)^2))/(2*kappa^2); ksi2=((-gama^2)+sqrt((gama^4)+4*(kappa^2)*(loss(2,1)*2*%pi)^2))/(2*kappa^2); sigma1=(6*log(10)/(ksi2-ksi1))*((-1/loss(1,2))+1/loss(2,2)); sigma0=(6*log(10)/(ksi2-ksi1))*((ksi2/loss(1,2)-ksi1/loss(2,2))); //création des matrices A, B et C Dxxligne=zeros(1,N-1); Dxxligne(1)=-2; Dxxligne(2)=1; Dxx=toeplitz(Dxxligne)*1/(h^2); Dxxxx=Dxx * Dxx; Id=eye(N-1,N-1); A=(1+sigma0*k)*Id-sigma1*k*Dxx; B=-2*Id-(gama^2)*(k^2)*Dxx+(kappa^2)*(k^2)*Dxxxx; C=(1-sigma0*k)*Id+sigma1*k*Dxx; //calcul de la suite U0 u0=zeros(N-1,1); i=1; while i*h <= xo u0(i)= i*h*co/xo i=i+1; end while i<=N-1 u0(i)=(co/(xo-1))*i*h+co/(1-xo) i=i+1; end //Déclaration du vecteur stockant la position de la corde au niveau des micros out=zeros(TF/k,2); temps=zeros(TF/k,1); //Calcul du premier itéré (U1) inva=inv(A); v=linspace(0,1,N+1)'; u1=-inva*(B*u0+C*u0); //Remplissage vecteur de position out(TF/k,1)=u0(floor(rp(1)/h)); out(TF/k,2)=u0(floor(rp(2)/h)); out(TF/k,1)=u1(floor(rp(1)/h)); out(2,2)=u1(floor(rp(2)/h)); //Mise à jour du vecteur temps temps(1)=0; temps(2)=k; plot(v,[0;u0;0]); xtitle("corde de guitare") clf(); plot(v,[0;u1;0]); xtitle("corde de guitare") t=2*k; c=0; // compteur im=0; // variable numérotant les images //Calcul de la suit Un while t<=TF temps(c+2)=t; u2=-inva*(B*u1+C*u0); u0=u1; u1=u2; t=t+k; //Tracé toute les 30 images if modulo(c,30)==0 drawlater; clf(); subplot(2,1,1); plot(v,[0;u2;0]); xtitle("corde de guitare") a=gca(); a.data_bounds=[0,-2 ; 1,2]; subplot(2,2,3) plot(temps,out(:,1)); xtitle("position corde micro 1") subplot(2,2,4) plot(temps,out(:,2)); xtitle("position corde micro 2") drawnow; //Enregistrement des images.gif // nom_image='image_'+string(im)+'.gif'; // winnum=winsid(); // xs2gif(winnum($),nom_image); im=im+1 end //mise à jour du vecteur position out(t/k,1)=(u2(floor(rp(1)/h)) + u2(ceil(rp(1)/h)))/2; out(t/k,2)=(u2(floor(rp(2)/h)) + u2(ceil(rp(2)/h)))/2; c=c+1; end //enregistrement son. playsnd(out(1 : size(out,1)), SR); savewave("son.wav", out(1 : size(out, 1)), SR); // Calcul de la transformée de Fourier tf_s1=fft(out(:, 1)); plot((1:size(tf_s1, 1))/TF, tf_s1);
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// 08.05.30 // 08.05.31 // 08.06.03 // 13.10.21 (__ added to variables ) function PL__=Sumfun(varargin) global XMIN XMAX YMIN YMAX Nargs__=length(varargin); Const__=0; Addstr__='A__=0'; J__=1; Tmp__=varargin(1); if type(Tmp__)==1 Const__=Tmp__; J__=J__+1; end if type(Tmp__)==10 Tmp1__=Strop(length(Tmp__),Tmp__); if Tmp1__=='+' Addstr__='A__='+Strop(1:length(Tmp__)-1,Tmp__); J__=J__+1 end end Fnstr__=varargin(J__); Krange__=varargin(J__+1); Xrange__=varargin(J__+2); N=50; for I__=J__+3:Nargs__ Tmp__=varargin(I__); execstr(Tmp__); end Tmp__=mtlb_findstr(Krange__,'='); Kname__=Strop(1:Tmp__-1,Krange__); Tmp1__=Strop(Tmp__+1:length(Krange__),Krange__); Tmp1__='Krg__='+Tmp1__; execstr(Tmp1__); Tmp__=mtlb_findstr(Xrange__,'='); if Tmp__==[] Xname__=Xrange__; Xrg__=[XMIN,XMAX]; else Xname__=Strop(1:Tmp__-1,Xrange__); Tmp1__=Strop(Tmp__+1:length(Xrange__),Xrange__); Tmp1__='Xrg__='+Tmp1__; execstr(Tmp1__); end Dx__=(Xrg__(2)-Xrg__(1))/N; PL__=[]; I__=0; while I__<=N Tmp__=Xname__+'=Xrg__(1)+I__*Dx__'; execstr(Tmp__); J__=Krg__(1); execstr(Addstr__); Y__=Const__+A__; while J__<=Krg__(length(Krg__)) Tmp__=Kname__+'=J__'; execstr(Tmp__); execstr('Y__=Y__+'+Fnstr__); J__=J__+1; end PL__=[PL__;Xrg__(1)+I__*Dx__,Y__]; I__=I__+1; end endfunction
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clc rho=1000; // kg/m^3 u1=36; // m/s u2=30; // m/s d=0.05; // m theta=60; // degrees A=%pi/4*d^2; Q=A*u1; F_x=rho*Q*(u2*cosd(theta) - u1); F_y=rho*Q*u2*sind(theta); F=sqrt(F_x^2+F_y^2); phi=atand(F_y/F_x); disp("The Hydrodynamic force on the vane =") disp(F) disp("N") printf("This resultant force acts at angle of %f to the x-direction", phi)
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function [r] = kSetSpeedPID(ref,Kp,Ki,Kd) // Ouput variables initialisation (not found in input variables) r=[]; // Number of arguments in function call [%nargout,%nargin] = argn(0) // Display mode mode(0); // Display warning for floating point exception ieee(1); //KSETSPEEDPID Set PID speed controller // //kSetSpeedPID(ref,Kp,Ki,Kd) // Set the proportional, integral, and derivative gain // of the speed controller of Khepera. // Use the reference obtained with kopen. // Written by Yves Piguet, 8/98. if %nargin<4 then Kp = 3800; Ki = 800; Kd = 100; disp("Set default PID controller: Kp=3800, Ki=800, Kd=100") end; // !! L.18: Matlab function sprintf not yet converted, original calling sequence used value = kcmd(ref,sprintf("A,%d,%d,%d",round(mtlb_double(Kp)),round(mtlb_double(Ki)),round(mtlb_double(Kd)))); if mtlb_logic(mtlb_double(value),"==",asciimat("a")) then r = 0; else r = -1; end; endfunction
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//resistance per square //given clc l=12d-3//metre t=0.12d-6//metre w=10d-3//metre delta_s=4.10d+7//mho/m Rp=l/(w*t*delta_s)//resistance in ohm Rp=round(Rp*10000)/10000///rounding off decimals disp(Rp,'the resistance for the given parameter in ohm')//ohm
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//Exa 2.24 clc; clear; close; format('v',7); //Given Data : m=1.5;//Kg V1=0.06;//m^3 p1=5.6*10;//Kpa t2=240;//degree centigrade T2=t2+273;//kelvin a=0.946; b=0.662; K=10^-4; //p*V=m*R*T=m*(a-b)*T T1=p1*10^5*V1/m/(a-b)/1000;//Kelvin U2subU1=integrate('m*(b+K*T)','T',T1,T2);//KJ Q=0;//isentropic process W=Q-U2subU1;//KJ disp(W,"Work done in KJ : "); //Answer in the book is wrong.
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clc; clear; mprintf('MACHINE DESIGN \n Timothy H. Wentzell, P.E. \n EXAMPLE-14.1 Page No.306\n'); //Torque on small pulley hp=2; n=2450; T=63000*hp/n; mprintf('\n Torque on small pulley = %f in-lb.',T); r=6/2; Fd=T/r; //Front force Fb=10; Ff=Fd+Fb; mprintf('\n Front force = %f lb.',Ff); //Force pulling the shafts Ft=Ff+Fb mprintf('\n Force pulling the shafts = %f lb.',Ft); //Surface speed D=2*r; Vm=%pi*D*n/12; mprintf('\n Surface speed = %f ft/min.',Vm); //Ratio D2=10; Mw=D2/D; mprintf('\n Ratio = %f .',Mw); //Output speed no=n/Mw; mprintf('\n Output speed = %f rpm.',no); //Note-There is an error in the answer given in textbook
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close; N =100; b = rand(1,N,'n'); // criando vetor de número aleatórios b = sign(b); // transforma em -1 e 1 b = 0.5 * (b +1); // transformar em 0 e 1 disp(b) r = xcorr(b) disp(r)
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//Example 8_6 clc(); clear; //To find out how fast is the sphere moving when it reaches the bottom //We know that 0.5*m*(vf^2-v0^2)+0.5*I*(wf^2-w0^2)+m*g*(hf-h0)=0 //And v0=w0=0 and I=(2/5)*m*r^2 printf("The sphere is moving at a speed of Vf=sqrt((10*g*h)/7)")
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T1=373;//initial temperature in kelvin// Lv=540*18;//latent heat of vapourization of water in cal per mol// T2=423;//final temperature in kelvin// R=1.99;//universal gas constant// P=10^(-Lv*((1/T2)-(1/T1))/(2.303*R));//vapour pressure of water in atm// printf('\npressure of water at which we can produce superheated steam=P=%fatm',P);
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clc clear //INPUT DATA Tl=300;//engine temprature in Degree C Th=1500;//engine temprature in Degree C Fc=0.45;//Fuel consumption in kg/hr cv=40000//kJ/kg wd=4;//workdone in kW //CALCULATIONS nc=((Th-Tl)/(Th+273))*100;//Efficiency of carnot cycle in percentage Qs=Fc*cv;//Heat is added in kJ/min na=(wd/(Qs))*(3600*100);//efficiency developed by scientist in percentage //OUTPUT printf('(a)Efficiency of carnot cycle is %3.2f percentage \n (b)efficiency developed by scientist is %3.i percentage',nc,na)
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clc clear //INPUT DATA np=1.39 //refractive index in air a=62 //refracting angle of prism //calculation x=1/np c=asind(x)//critical angle r=a-c i= np* sind(r)//snells law i1=asind(i) A=2*c//greatest prism angle allowing refraction //output printf("angle of incidence producing maximum deviation is %3.3f deg",r) printf(" \n greatest prism angle allowing refraction is %3.3f deg",A)
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clear; close; clc; W=%pi/4; w=-10:0.1:10; for i=1:length(w) if (w(i)>=-2*%pi-W & w(i)<=-2*%pi+W) then X(i)=1; elseif (w(i)>=-W & w(i)<=W) X(i)=1; elseif (w(i)>=2*%pi-W & w(i)<=2*%pi+W) X(i)=1; else X(i)=0; end end figure subplot(2,1,1) plot(w,X); title("X[w]"); n=-15:15; x=X'*exp(-%i*w'*n); subplot(2,1,2) plot2d3(n,x); plot(n,x,'r.') title("x[n] inverse fourier transform")
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//Caption:transfer_function_using_mason's_gain_formula // example 4.4.4 //page 67 syms G1 G2 G3 H1; // forward path denoted by P1,P2 and so on and loop by L1,L2 and so on //path factor by D1,D2 and so on and graph determinant by D P1=G1*G2*1; P2=G1*G3; L1=G2*(-1); L2=G3*(-1); L3=-G1*G2*H1 D1=1; D2=1; D=1-(L1+L2+L3); Y=(P1*D1+P2*D2)/D; Y=simple(Y); disp(Y,"C(s)/R(s)=")
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// Display mode mode(0); // Display warning for floating point exception ieee(1); clear; clc; disp("Turbomachinery Design and Theory,Rama S. R. Gorla and Aijaz A. Khan, Chapter 6, Example 4") disp("Critical pressure for maximum mass flow is given by Fig. Ex64") disp("Pc is critical pressure in MPa") P1 = 0.8;//MPa n = 1.135;//index Pc = P1*(2/(n+1))^(n/(n-1)) P2 = Pc; disp("From the Mollier chart:") disp("h1 = 2769 kJ/kg") disp("h2 = 2659 kJ/kg") disp("h3 = 2452 kJ/kg") h1 = 2769; h2 = 2659; h3 = 2452; disp("Enthalpy drop from 0.8 MPa to 0.15 MPa:") Deltah13 = h1-h3 disp("Enthalpy drop from 0.8 MPa to 0.462 MPa:") Deltah12 = h1-h2 disp("Dryness fraction:") x2 = 0.954 x3 = 0.902 disp("The velocity at the exit in m/s") C3 = (2*1000*Deltah13)^0.5 disp("The velocity at the throat in m/s") C2 = (2*1000*Deltah12)^0.5 disp("Mass discharged at the throat") disp("m2 = A2C2/x2vg2") disp("Mass discharged at the exit") disp("m3 = A3C3/x3vg3") disp("A3C3/x3vg3 = A2C2/x2vg2") disp("A3/A2 = (C2/C3) * (x3vg3/x2vg2)") disp("Area Ratio A3/A2 = Ar") vg3 = 1.1593; vg2 = 0.4038; Ar = C2*x3*vg3/(C3*x2*vg2)
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clear clc //Lista de exercício 3 - 3º Tarefa //Dados pi = %pi r = 0.001; // raio da esfera em metros rho = 7850; //densidade do aço em kg/m^3 g = 9.8; //m/s^2 m = (4/3)*pi*(r^3)*7850 // massa em kg R=1;//Raio da circunferencia geradora //Condições iniciais s0 = -4; v0 = 1; S0 = [s0;v0]; //Espaço de estados function dS = f(t,s) //s = [s, ds/dt] dS1 = s(2); dS2 = -g*s(1)/(4*R); dS = [dS1; dS2]; endfunction t = linspace(0,10,1000) S = ode(S0,0,t,f); //Energia Cinética function cinética = T(S) cinética = (1/2)*m*(S(2,:))**2 endfunction //Energia Potencial function potencial = V(S) potencial=m*g*((S(1,:))**2)/(8*R); endfunction //Energia Mecânica function mecanica=E(S) mecanica=V(S)+T(S) endfunction //Aceleração a = diff(S(2,:))/0.5; a($+1) = a($) //Plotar gráficos clf() scf(0) subplot(2,2,1) xtitle('Posição por tempo'); plot(t, S(1,:), 'b'); subplot(2,2,2) xtitle('Velocidade por tempo'); plot(t, S(2,:), 'b') subplot(2,2,3) xtitle('Plano de fases do movimento'); plot(S(1,:), S(2,:), 'k') subplot(2,2,4) xtitle('Aceleração em função do tempo') plot(t, a, 'b') scf(1) subplot(2,2,1) xtitle('Energia cinética por tempo'); plot(t, T(S), 'b') subplot(2,2,2) xtitle('Energia potencial por tempo'); plot(t, V(S), 'r') subplot(2,2,3) xtitle('Energia mecânica por tempo'); plot(t, E(S), 'k') subplot(2,2,4) xtitle('Soma das energias') plot(t, T(S), 'b') plot(t, V(S), 'r') plot(t, E(S), 'k')
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clc // Given that f = 100 // focal length of lens in cm y = 0.05 // Separation between second dark bend and center in cm m = 4 // Order of minima n = 5 // Order of minima e = 0.5 // Distance of center of 5th minima from center of maxima in cm // Sample Problem 6 on page no. 141 printf("\n # PROBLEM 6 # \n") printf(" Standard formula used \n") printf(" lambda = e*sin(theta) \n") theta = y*1e-2/(f*1e-2) // Calculation of angle in radian lambda_1 = theta*e*1e-2/m // Calculation of wavelength 1 lambda_2 = lambda_1*m/n // Calculation of wavelength 2 printf("\n Wavelengths are %d and %d angestrom.",lambda_1*1e+10,lambda_2*1e+10)
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//Chapter-3,Example3_3_7,pg 3-8 //as total internal reflection takes place for light travlling within 5 degree of the fibre axis angle_c=90-5 //critical angle n1=1.50 //refractive index of core n2=n1*sind(angle_c) printf("\nThe maximum refractive index of cladding is n2 = %.4f\n",n2)
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p = [1 0 -4 -2] roots(p)
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//EXAMPLE 6.34 //y[n]=x[n-1] - 1.2*x[n-2] + x[n-3] + 1.3*y[n-1] -1.04*y[n-2] + 0.222*y[n-3] //Transfer function determination clc; clear; z=%z; disp('Given the difference equation taking ztransform on both sides :') Yz = z^2 -1.2*z +1; Xz = z^3 -1.3*z^2 + 1.04*z -0.222; Hz = Yz/Xz; disp(Hz,'The transfer function is = ') elts = factors(Xz); disp(elts,'factors of Xz are = ') plzr(Hz);
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clear flag=1 mode(-1) clc printf("Example 2 : Show the method of showing PID,PPID in both parent and child process \n") disp("****************************************************************") disp("Answer : ") disp("INSTRUCTIONS : ") halt(' ') disp("1.These programs are part of systems programming PURELY in Unix and the commands have NO EQUIVALENT IN SCILAB") halt(' ') disp("2.However the .c files which are displayed here are also made into a seperate file.If you are a unix user then try compiling and running the programme with gcc or cc compiler") halt(' ') disp("3.The outputs displayed here are just MOCK OUTPUTS which are DISPLAYED IN THE TEXTBOOK") halt(' ') disp("4.The inconvenience is regretted.") halt('.............Press [ENTER] to continue.....') halt("") clc printf("\tUNIX SHELL SIMULATOR(DEMO VERSION WITH PRELOADED COMMANDS)\n\n\n") i=0 i=i+1;f(i)='/* Program: fork.c -- A simple fork Shows PID,PPID in both parent and child*/' i=i+1;f(i)='' i=i+1;f(i)='#include <stdio.h>' i=i+1;f(i)='#include <sys/types.h>' i=i+1;f(i)='' i=i+1;f(i)='int main(void) {' i=i+1;f(i)=' pid_t pid;' i=i+1;f(i)=' ' i=i+1;f(i)=' printf('+ascii(34)+'Before forking\n'+ascii(34)+');' i=i+1;f(i)=' pid = fork(); /* Replicates current processes */' i=i+1;f(i)=' ' i=i+1;f(i)=' if(pid >0) { /* In the parent process; make sure */' i=i+1;f(i)=' sleep(1); /* That the parent does not die before child */' i=i+1;f(i)=' printf('+ascii(34)+'PARENT -- PID: %d PPID %d, CHILD PID: %d\n'+ascii(34)+',getpid(),getppid(),pid);}' i=i+1;f(i)=' ' i=i+1;f(i)=' else if (pid == 0) /* In the child process */' i=i+1;f(i)=' printf('+ascii(34)+'CHILD -- PID: %d PPID: %d\n'+ascii(34)+',getpid(),getppid());' i=i+1;f(i)=' else { /* pid must be -1 here */' i=i+1;f(i)=' printf('+ascii(34)+'Fork error\n'+ascii(34)+');' i=i+1;f(i)=' exit(1);}' i=i+1;f(i)=' printf('+ascii(34)+'Both process continue from here\n'+ascii(34)+'); /* In both processes */' i=i+1;f(i)=' exit(0);' i=i+1;f(i)='}' n=i printf("\n\n$ cat fork.c # to open the file emp.lst") halt(' ') u=mopen('fork.c','wt') for i=1:n mfprintf(u,"%s\n",f(i)) printf("%s\n",f(i)) end mclose(u) halt('') clc halt(' ') printf("$ cc fork.c") halt(' ') printf("$ a.out") halt(' ') printf("Before forking\nCHILD -- PID: 1556 PPID: 1555\nBoth processes continue from here # This statement runs in child\nPARENT -- PID: 1555 PPID: 1450,CHILD PID: 1556\nBoth processes continue from here ...as well as in parent\n") halt(' ') printf("\n\n\n$ exit #To exit the current simulation terminal and return to Scilab console\n\n") halt("........# (hit [ENTER] for result)") //clc() printf("\n\n\t\t\tBACK TO SCILAB CONSOLE...\nLoading initial environment') sleep(1000)
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//Initilization of variables d_m=2 //in mean diameter of the screw p=1/4 //in mu=0.15 //coefficient of friction l=2 //ft L=4000 //lb //Calculations phi=atand(mu) //degrees beta=atand(p/(%pi*l)) //degrees //Force to raise the load P=(L*tand(phi+beta))/(d_m*12) //lb //Force to lower the load P2=(L*tand(phi-beta))/(d_m*12) //lb //Result clc printf('The force to raise the load is %flb and to lower is %flb',P,P2 )
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//example 5.8 clc; funcprot(0); Df=1; B=1.75; qnet=120; N60=10; Fd=1+0.33*Df/B; Se=2*qnet/N60/Fd*(B/(B+0.3))^2; disp(Se,"settlement in mm");
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//example 3 //the rate of irreversibility of a heat engine clear clc Tsink=300 //Temp. of sink in K Tsource=1200 //Temp. of source in K nthrev=1-Tsink/Tsource //efficiency of carnot engine Qin=500 //rate at which heat is received from the source in kW Wrev=nthrev*Qin //maximum power produced by a heat engine in kW Wout=180 //actual power output in kW I=Wrev-Wout //irreversibility rate of the process in kW printf("\n Hence, the reversible power for this process is = %.0f kW. \n",Wrev); printf("\n The irreversibility rate is = %.0f kW. \n",I);
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//Given that r_initial = [-3,2,5] //in meter r_final = [9,2,8] //in meter //Sample Problem 4-1 printf("**Sample Problem 4-1**\n") dis_v = r_final - r_initial printf("The displacement vector of the particle in meter is") disp(dis_v)
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clc; clear; x=0:0.1:0.4; printf("\nX values"); disp(x); y=[1,1.22,1.49,1.82,2.26]; printf("\ny values"); disp(y); X=0.05; n=length(x); h=x(2)-x(1); p=(X-x(1))/h; sum1=y(1); term=1; printf("\nDifference Table"); for i=1:n-1 for j=1:n-i y(j)=y(j+1)-y(j); printf("\t%f",y(j)); end term=term*(p-i+1)/i; sum1=sum1+term*y(1); mprintf("\n"); end printf("\nThe value of f(0.05) : %f", sum1);
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//ex1: no.of pence in x pounds added to y pence clear; clc; close; //' to express pounds in pence, multiply by 100' x=poly(0,'x'); x_pounds=100*x; // x_pounds=100*x pence mprintf(' total no. of pence =100x+y ')
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stnum.tst
#ifndef _STNUM_TST #define _STNUM_TST /*------------------------------------------------------------------------------------------- ST_NUM.TST Autor : Bernd Rumscheid Datum : 14.12.88 nderungen : 01.01.89 -------------------------------------------------------------------------------------------*/ #include <stdio.h> /*------------------------------------------------------------------------------------------* * auswertung_SG gibt den ST_GRAPHEN auf dem Bildschirm aus * *------------------------------------------------------------------------------------------*/ void auswertung_SG( ST_GRAPH *SG ) { ST_NODE *SN; AL_NODE *AN; printf( "\n" ); printf( "Ausgabe des ST_GRAPHS:\n" ); printf( "\n" ); printf( "Der Graph hat %d Knoten\n", SG->V ); printf( "\n" ); printf( "Adjazenzlisten:\n" ); for ( SN = SG->first; SN != nil; SN = SN->next ) { printf( "%d: ", SN->name ); printf( " dfnum: %d\n", SN->dfnum ); printf( " stnum: %d\n", SN->stnum ); printf( " low : %d\n", SN->low ); printf( " adj :" ); for ( AN = SN->adj; AN != nil; AN = AN->next ) printf( " %d ", AN->pnode->name ); printf( "\n" ); printf( " from :" ); for ( AN = SN->from; AN != nil; AN = AN->next ) printf( " %d ", AN->pnode->name ); printf( "\n" ); printf( " to :" ); for ( AN = SN->to; AN != nil; AN = AN->next ) printf( " %d ", AN->pnode->name ); printf( "\n" ); } printf( "\n" ); } /* auswertung_SG */ void PRINT_USED( ST_GRAPH *SG ) { int i, j; for ( i = 0; i < SG->V; i++ ) { for ( j = 0; j < SG->V; j++ ) printf( "%d", SG->used[ i * SG->V + j ] ); printf( "\n" ); } } /* PRINT_USED */ void PRINT_STACK( AL_NODE *Stack ) { AL_NODE *AN; printf( "Stack: " ); AN = Stack; while ( AN != nil ) { printf( " %d", AN->pnode->name ); AN = AN->next; } printf( "\n" ); } /* PRINT_STACK */ /* END ST_NUM.TST */ #endif
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clc //to calculate number of electrons I=2*10^-3 //current in mA e=1.6*10^-19 n=I/e disp("number of electrons striking the target per second is n="+string(n)+"unitless") //to calculate speed m=9.1*10^-31 //mass of electron in kg V=12.4*10^3 //potential difference in V v=sqrt(2*V*e/m) disp("the speed with which electrons strike the target is v="+string(v)+"m/s")
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//[var]=c(q,qd,u,paramopt) var=fort('c',... q,1,'d',qd,2,'d',u,3,'d',paramopt,4,'d',... 'sort',[1,1],5,'d') //end
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clear // // // //Variable declaration h=6.6*10^-34; //planck's constant(J-sec) e=1.6*10^-19; //charge of electron(c) L=10^-1; //width(m) m=10^-2; //mass of electron(kg) n1=1; n2=2; n3=3; //Calculations E=h^2/(8*m*e*L^2); //energy(eV) E1=n1^2*h^2/(8*m*e*L^2); //1st least energy(eV) E2=n2^2*h^2/(8*m*e*L^2); //2nd least energy(eV) E3=n3^2*h^2/(8*m*e*L^2); //3rd least energy(eV) //Result printf("\n 1st least energy is %0.1f *10^-45 eV",E1*10^45) printf("\n 2nd least energy is %0.1f *10^-45 eV",E2*10^45) printf("\n 3rd least energy is %0.1f *10^-45 eV",E3*10^45) printf("\n energy levels are so close to each other that the energy states cannot be observed")
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clear //Given n=10 I=3 A=7.85*10**-3 B=10**-2 //T //Calculation // M=n*I*A U1=-M*B*cos(0) Uf=-M*B*cos(90) w=-U1 t=M*B*sin(90*3.14/180.0) //Result printf("\n Work done is %0.1f *10**-3 Nm",t*10**3)
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clc pathname=get_absolute_file_path('7_7_1.sce') filename=pathname+filesep()+'771.sci' exec(filename) printf(" All the values in the textbook are Approximated hence the values in this code differ from those of Textbook") u1=Vdot*10^4 /(10^3 *60*%pi*(ID1/2)^2) u2=Vdot*10^4 /(10^3 *60*%pi*(ID2/2)^2) deltaP=-((u2^2 - u1^2)/2 + g*deltaZ)*10^3 P1=P2-deltaP printf(" \n P1=%E Pa",P1)
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//Wired Digital Communications : example 9-5 : (pg 411) Tb=1/(8*10^3);//bit frequency BWmin=1/(2*Tb);//minimum bandwidth printf("\nTb = %.8f s",Tb); printf("\nBWmin = 1/2.Tb = %.f Hz",BWmin);
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getd . test_pass=[] res=[] /////////Test case for 1) allignsignal ////////// x=[0 0 2 5 1 ]; y=[2 5 1 4]; [xa,ya]=alignsignals(x,y) if(xa==[0 0 2 5 1 4] & ya==[0 0 2 5 1 4]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Allignsignal Test failed") end ///////////////////////////////////////////// /////////Test case for 2) arithenco ////////// seq=[1 3 2 1] counts=[5 2 1] code = arithenco(seq,counts) if(code==[1 0 0 1 0 1 1 1 0 0]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Arithenco Test failed") end ///////////////////////////////////////////// /////////Test case for 3) arithdeco ////////// seq=[1 3 2 1] counts=[5 2 1] len=4 code = arithenco(seq,counts) dseq = arithdeco(code,counts,length(seq)); if(dseq==[1 3 2 1]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Arithdeco Test failed") end ///////////////////////////////////////////// /////////Test case for 4) FInddelay ////////// x=[1 2 3 4 5 6] y=[5 6] D1 = finddelay(x,y,5) D2 = finddelay(x,y,3) if(D1==-4 & D2==-3) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Finddelay Test failed") end ///////////////////////////////////////////// /////////Test case for 5) Gfcosets ////////// a=2; b=3; c = gfcosets(a,b) if(c(:,1)==[0;1;2;4;5] & c(2,2)==3 & c(3,2)==6 & c(5,2)==7 & isnan(c(1,2)) & isnan(c(4,2))) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("gfcosets Test failed") end ///////////////////////////////////////////// /////////Test case for 6) Gflineq ////////// A = [2 0 1;1 1 0;1 1 2] b=[1;0;0] p=3 [x,vld] = gflineq(A,b,p) if(vld==1 & x==[2;1;0]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Gflineq Test failed") end ///////////////////////////////////////////// /////////Test case for 7) Gfrepcov ////////// x=[1 2 4 6]; polystandard = gfrepcov(x) if(polystandard==[0 1 1 0 1 0 1]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Gfrepcov Test failed") end ///////////////////////////////////////////// /////////Test case for 8) Gftrunc ////////// a=[0 0 1 2 3 0 0 4 5 0 0]; c = gftrunc(a) if(c==[0 0 1 2 3 0 0 4 5]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Gftrunc Test failed") end ///////////////////////////////////////////// /////////Test case for 9) Istrellis ////////// trellis.numInputSymbols = 2; trellis.numOutputSymbols = 2; trellis.numStates = 2; trellis.nextStates = [0 1;0 1]; trellis.outputs = [0 0;1 1]; [isok,status] = istrellis(trellis) if(isempty(status) & isok) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("istrellis Test failed") end ///////////////////////////////////////////// /////////Test case for 10)iscatastrophic ////////// eg_1.numInputSymbols = 4; eg_1.numOutputSymbols = 4; eg_1.numStates = 3; eg_1.nextStates = [0 1 2 1;0 1 2 1; 0 1 2 1]; eg_1.outputs = [0 0 1 1;1 1 2 1; 1 0 1 1]; res_c_eg_1=iscatastrophic(eg_1) if(res_c_eg_1==0) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("iscatastrophic Test failed") end ///////////////////////////////////////////// /////////Test case for 11)iqimbal2coef ////////// ampImb = 2; // dB phImb = 15; // degrees compcoef = iqimbal2coef(ampImb,phImb) compcoef=roundn(compcoef,4) if(compcoef==[-0.1126+0.1334*%i 0]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Iqimbal2coef Test failed") end ///////////////////////////////////////////// /////////Test case for 12)iqcoef2imbal ////////// x=[4 2 complex(-0.1145,0.1297) complex(-0.0013,0.0029)]; [a_imb_db,ph_imb_deq] = iqcoef2imbal(x); a_imb_db=roundn(a_imb_db,4); ph_imb_deq=roundn(ph_imb_deq,4) if(a_imb_db==[4.437 9.5424 2.0319 0.0226] &ph_imb_deq==[180 180 14.5877 0.3323]) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("Iqcoef2imbal Test failed") end ///////////////////////////////////////////// /////////Test case for 13)lteZadoffChuSeq ////////// a=25; b=139; seq = lteZadoffChuSeq(a,b); seq=roundn(seq,3); M1=fscanfMat("txt1_ltezadoffchuseq"); M2=fscanfMat("txt2_ltezadoffchuseq"); if(real(seq)==M1 & imag(seq)==M2) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("iteZadoffChuSeq Test failed") end ///////////////////////////////////////////// /////////Test case for 14)ssbmod ////////// Fs =50; t = [0:2*Fs+1]'/Fs; ini_phase = 5; Fc = 20; fm1= 2; fm2= 3; x =sin(2*fm1*%pi*t)+cos(2*fm2*%pi*t); //message signal y = ssbmod(x,Fc,Fs,ini_phase); y=roundn(y,4); M=fscanfMat("txt3_ssbmod"); if(y==M) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("ssbmod Test failed") end ///////////////////////////////////////////// /////////Test case for 15)ssbdemod ////////// Fs =50; t = [0:2*Fs+1]'/Fs; ini_phase = 5; Fc = 20; fm1= 2; fm2= 3; x =sin(2*fm1*%pi*t)+cos(2*fm2*%pi*t); //message signal y = ssbmod(x,Fc,Fs,ini_phase); //modulated signal o = ssbdemod(y,Fc,Fs,ini_phase); o = roundn(o,4); M=fscanfMat("txt4_ssbdemod"); if(o==M) test_pass=[test_pass,1] else test_pass=[test_pass,0] disp("ssbdemod Test failed") end ///////////////////////////////////////////// res=find(test_pass==0) if(res~=[]) disp("One or more tests failed") //exit(1) else disp("pass") //exit end
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function y = moc_rot90 (x, k) // rotates the given matrix clockwise by 90 degrees. // Calling Sequence // y = moc_rot90 (x, k) // Description // Return a copy of x with the elements rotated counterclockwise in // 90-degree increments. The second argument is optional, and specifies // how many 90-degree rotations are to be applied (the default value is 1). // Negative values of n rotate the matrix in a clockwise direction. // Examples // moc_rot90 ([1, 2; 3, 4], -1) // Authors // John W. Eaton // Copyright (C) 1993, 1994, 1995, 1996, 1997, 1999, 2000, 2004, 2005, // 2006, 2007, 2008, 2009 John W. Eaton // // This file is part of Octave. // // Octave is free software; you can redistribute it and/or modify it // under the terms of the GNU General Public License as published by // the Free Software Foundation; either version 3 of the License, or (at // your option) any later version. // // Octave is distributed in the hope that it will be useful, but // WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU // General Public License for more details. // // You should have received a copy of the GNU General Public License // along with Octave; see the file COPYING. If not, see // <http://www.gnu.org/licenses/>. // -*- texinfo -*- // @deftypefn {Function File} {} rot90 (@var{x}, @var{n}) // Return a copy of @var{x} with the elements rotated counterclockwise in // 90-degree increments. The second argument is optional, and specifies // how many 90-degree rotations are to be applied (the default value is 1). // Negative values of @var{n} rotate the matrix in a clockwise direction. // For example, // // @example // @group // rot90 ([1, 2; 3, 4], -1) // @result{} 3 1 // 4 2 // @end group // @end example // // @noindent // rotates the given matrix clockwise by 90 degrees. The following are all // equivalent statements: // // @example // @group // rot90 ([1, 2; 3, 4], -1) // rot90 ([1, 2; 3, 4], 3) // rot90 ([1, 2; 3, 4], 7) // @end group // @end example // // Due to the difficulty of defining an axis about which to rotate the // matrix @code{rot90} only work with 2-D arrays. To rotate N-d arrays // use @code{rotdim} instead. // @seealso{rotdim, flipud, fliplr, flipdim} // @end deftypefn // Author: jwe [nargout,nargin]=argn(0); if (nargin == 1 | nargin == 2) if (nargin < 2) k = 1; end if (ndims (x) > 2) error ("rot90: Only works with 2-D arrays"); end if (imag (k) ~= 0 | fix (k) ~= k) error ("rot90: k must be an integer"); end k = modulo (k, 4); if (k < 0) k = k + 4; end if (k == 0) y = x; elseif (k == 1) y = moc_flipud (x.'); elseif (k == 2) y = moc_flipud (moc_fliplr (x)); elseif (k == 3) y = (moc_flipud (x)).'; else error ("rot90: internal error!"); end else error("wrong usage!"); end endfunction //test // x1 = [1, 2; // 3, 4]; // x2 = [2, 4; // 1, 3]; // x3 = [4, 3; // 2, 1]; // x4 = [3, 1; // 4, 2]; // // assert((rot90 (x1)== x2 && rot90 (x1, 2) == x3 && rot90 (x1, 3) == x4 // && rot90 (x1, 4) == x1 && rot90 (x1, 5) == x2 && rot90 (x1, -1) == x4)); //error rot90 (); //error rot90 (1, 2, 3);
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Example6_5.sce
//Example 6.5 //Program to determine the threshold current density and the //threshold current for the device clear; clc ; close ; //Given data n=3.6; //REFRACTIVE INDEX OF GaAs beeta_bar=21*10^(-3); //A/cm^3 - GAIN FACTOR alpha_bar=10; //per cm - LOSS COEFFICIENT L=250*10^(-4); //cm - LENGTH OF OPTICAL CAVITY W=100*10^(-4); //cm - WIDTH OF OPTICAL CAVITY //Reflectivity for normal incidence r=((n-1)/(n+1))^2; //Threshold current density Jth=1/beeta_bar*(alpha_bar+1/L*log(1/r)); //Threshold current Ith=Jth*W*L; //Displaying the Results in Command Window printf("\n\n\t Threshold current density is %0.2f X 10^3 A/cm^2.",Jth/10^3); printf("\n\n\t Threshold current is %0.1f mA.",Ith/10^(-3));
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Ex14_6.sce
//Variable declaration: T1 = 500.0 //Temperature of hot fluid entering the heat exchanger (°F) T2 = 400.0 //Temperature of hot fluid exiting the heat exchanger (°F) t1 = 120.0 //Temperature of cold fluid entering the heat exchanger (°F) t2 = 310.0 //Temperature of cold fluid exiting the heat exchanger (°F) //Calculation: DT1 = T1 - t2 //Temperature difference driving force at the heat exchanger entrance (°F) DT2 = T2 - t1 //Temperature difference driving force at the heat exchanger exit (°F) DTlm = (DT1 - DT2)/(log(DT1/DT2)) //LMTD (driving force) for the heat exchanger (°F) //Result: printf("The LMTD (driving force) for the heat exchanger is : %.0f °F.",DTlm)
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ex_2_8_4_a.sce
//Example 2.8.4.a // unknown resistor clc; clear; close; //given data : V=100;//in volts I=5*10^-3;// in A R_app=(V/I)*10^-3; disp(R_app,"apparent resistor,R_app(kilo-ohm) = ")
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Example9_8.sce
//Example 9.8 //Program to determine: //(a)Maximum bandwidth without equilization //(b)Mean square thermal noise current per unit bandwidth //(c)(Compare (a) and (b) for transimpedance amplifier clear; clc ; close ; //Given data Ra=4*10^6; //Ohms - INPUT RESISTANCE Rb=4*10^6; //Ohms - DETECTOR BIAS RESISTANCE Ct=6*10^(-12); //Farad - TOTAL CAPACITANCE k=1.381*10^(-23); //m^2 kg/s - BOLTZMANN's CONSTANT T=300; //Kelvin - TEMPERATURE Rf=100*10^3; //Ohms - LOAD RESISTANCE G=400; //OPEN LOOP GAIN OF TRANSIMPEDANCE AMP. //Total effective load resistance Rtl=Rb*Ra/(Rb+Ra); //(a)Maximum bandwidth without equilization B=1/(2*%pi*Rtl*Ct) //(b)Mean square thermal noise current per unit bandwidth it_sq_bar=4*k*T/Rtl; //(c)(Compare (a) and (b) for transimpedance amplifier B1=G/(2*%pi*Rf*Ct) it_sq_bar1=4*k*T/Rf; //Displaying the Results in Command Window printf("For High Gain Transimpedance Amplifier:") printf("\n\n (a)Maximum bandwidth without equilization, B = %0.2f X 10^4 Hz.",B/10^4); printf("\n\n (b)Mean square thermal noise current per unit bandwidth, it_sq_bar = %0.2f X 10^(-27) A^2/Hz.",it_sq_bar/10^(-27)); printf("\n\n (c)For High Gain Transimpedance Amplifier:") printf("\n\n Maximum bandwidth without equilization, B = %0.2f X 10^8 Hz.",B1/10^8); printf("\n\n Mean square thermal noise current per unit bandwidth, it_sq_bar = %0.2f X 10^(-25) A^2/Hz.",it_sq_bar1/10^(-25)); printf("\n\n Mean square thermal noise current for transimpedance amplifier is %1.0f times or %1.0f dB greater.",it_sq_bar1/it_sq_bar,10*log10(it_sq_bar1/it_sq_bar));
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Ex8_10.sce
clc;clear; //Example 8.10 //given values Q=1035; T0=273; Tin=293; Tout=278; T1=300; //calculations //Xin - Xout - Xdestroyed = dX/dt Xdestroyed=Q*(1-T0/Tin)-Q*(1-T0/Tout); Xdestroyed=round(Xdestroyed); disp(Xdestroyed,'the rate of exergy destroyed in W'); //the total rate of exergy destroyed Xdestroyed=Q*(1-T0/T1)-Q*(1-T0/T0); disp(Xdestroyed,'the otal total of exergy destroyed in W');
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function [value] = kLinVis(ref) // Ouput variables initialisation (not found in input variables) value=[]; // Display mode mode(0); // Display warning for floating point exception ieee(1); reply = kTurret(ref,2,"N"); // !! L.3: Matlab function sscanf not yet converted, original calling sequence used [value,count,errmsg] = sscanf(mtlb_e(reply,3:$),"%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d,%d");// cmd==''N'' endfunction
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Ex1_12.sce
//Variable declaration Vbb=5 //bias voltage(V) Rl=1 //resistance(ohm) Id=4.4 //from the figure(mA) //Part a i=Vbb/Rl //load line intercepts the Id axis at i(mA) Vl=Id*Rl //load voltage(V) //Part b Vd=Vbb-Vl //diode voltage(V) P=Vd*Id //power absorbed in diode(mW) //Part c Ida=1.42 //diode current(mA)for 2V Idb=7.35 //diode current(mA)for 8V //Part d Idc=8.7 //diode current(mA)for Rl=0.5k ohm Idd=2.2 //diode current(mA)for Rl=2k ohm //Results printf ("diode current is %.1f mA and voltage across the load is %.1f V", Id,Vl) printf ("power absorbed in diode is %.2f mW",P) printf ("diode current for Vbb=2V is %.2f mA and for Vbb=8V is %.2f mA",Ida,Idb) printf ("diode current for Rl=0.5 kohm is %.1f mA and for Rl=2 kohm is %.1f mA",Idc,Idd)
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EX1_24.sce
clear; clc; printf("\nEx1.24\n"); //page no.-34 //given n=3;.....................//order lambda=0.79*10^-10;......//wavelength in m d=3.04*10^-10;..........//spacing in m //from bragg's law theta=asind((n*lambda)/(2*d))..........//angle in degrees printf("\nangle is 22.942 degrees\n");
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12_06.sce
//Problem 12.06: //initializing the variables: xb = 0.2; // mol% p = 280; // in psia a = 0.4; //calculation: BPT = 140; // in deg F Kp = 1.15 Kb = 0.41 Y = xb*Kb + Kp*(1 - xb) DPT = 154; // deg F Kp = 1.30 Kb = 0.50 Xa = xb/Kb + (1-xb)/Kp T = 145; // in deg F L = 1 - a Kp = 1.20 Kb = 0.45 Xz = xb/(L + Kb*a) + (1 - xb)/(L + Kp*a) printf("\n\nResult\n\n") printf("\n bubble point temperature is %.0f deg F, dew point temperature is %.0f deg F and temperature when 40 mole per of the mixture is in the vapor phase is %.0f deg F",BPT, DPT, T)
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(set-strategy depth) (unwatch all) ; bigbug4.bat test (open "bigbug.rsl" bigbug "w") (dribble-on "bigbug.out") (clear) (release-mem) (mem-used) (load-facts bigbug.dat) (clear) (release-mem) (mem-used) (load bigbug.clp) (reset) (clear) (release-mem) (mem-used) (dribble-off) (load "compline.clp") (printout bigbug "bigbug.bat differences are as follows:" crlf) (compare-files bigbug.exp bigbug.out bigbug) ; close result file (close bigbug)
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numerosPseudoAleatorios.sce
x1 = rand(1,100,'normal');
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18_3w.sce
//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 18.3w //calculation of object distance for half image height as compared to original height in case of reflection by convex mirror //given data m=.5; //magnification ratio f=2.5; //focal length of the convex mirror(in m) //calculation //(1/u)+(1/v)=(1/f); //mirror formula //now m=-v/u=0.5 u=-f; //from formula taking v=-u/2 mirror formula gives this relation disp(abs(u),'the boy should stand at a distance(in m) from the convex mirror');
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Example3_12.sce
//Example 3.12 clc disp("Step 1: Identify topology") disp(" The feebdack is given from emitter of Q2 to the base of Q2. If Io = 0 then feedback current through 5 K register is zero, hence it is current sampling. As feedback signal is mixed in shunt with input, the amplifier is current shunt feedback amplifier.") disp("") disp("Step 2 and Step 3: Find input and output ") disp(" The input circuit of the amplifier without feedback is obtained by opening the output loop at the emitter of Q2(Io = 0). This places R''(5 K) in series with Re from base to emitter of Q1. The output circuit is found by shorting the input node, i.e. making Vi = 0. This places R'' (5 K) in parallel with Re. The resultant equivalent circuit is shown in fig.3.59 ") disp("") disp("Step 4: Find open circuit transfer gain.") disp(" A_I = Io / Is = -Ic/I_b2 * I_b2/I_c1 * I_c1/I_b1 * I_b1/Is") disp("We know that -I_c2 / I_b2 = A_i2 = -hfe = -50 and") disp(" -I_c1 / I_b1 = A_i1 = -hfe = 50") disp(" I_c1 / I_b1 = 50") disp("Looking at fig.3.59 we can write,") disp(" I_b2 / I_c1 = -R_c1 / R_c1+R_i2 ") ri2=1.5+(51*((5*0.5)/(5.5))) // in k-ohm format(8) disp(ri2,"where R_i2(in k-ohm) = h_ie + (1+h_fe)*(R_e2||R'') =") x1=-2/(2+24.6818) disp(x1," I_b2 / I_c1 =") disp(" I_b1 / Is = R / R+R_i1 where R = Rs||(R''+R_e2) ") r=((1*5.5)/(1+5.5))*10^3 // in ohm format(9) disp(r,"Therefore, R(in ohm) =") disp("and R_i1 = h_ie + (1+h_fe)*R_e1 = 16.8 k-ohm") x1=846.1538/(846.1538+(16.8*10^3)) format(8) disp(x1,"Therefore, I_b1 / Is =") ai=50*0.07495*50*0.04795 format(7) disp(ai," A_I =") disp("") disp("Step 5: Calculate beta") beta=500/(500+(5*10^3)) disp(beta," beta = If / Io = R_e2 / R_e2|R'' =") disp("") disp("Step 6: Calculate D, A_If") d=1+(0.0909*8.9848) disp(d," D = 1 + A_I*beta =") aif=8.9848/1.8168 disp(aif," A_If = A_I / D =")