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ex_24_7.sce
//find.. clc //solution //given n=4 //n1+n2=5 pb=0.127//N/mm^2 N=500//rpm r1=125//mm r2=75//mm u=0.3 C=pb*r2//N/mm W=2*%pi*C*(r1-r2)//N R=(r1+r2)/2/1000//m T=n*u*W*R//N-m P=T*2*%pi*N/60 printf("power trans is,%f W\n",P)
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Ex5_7.sce
clc clear //DATA GIVEN h12=840; //Adiabatic enthalpy drop, (h1-h2) in kJ/kg h1=2940; //enthalpy of steam supplied in kJ/kg p2=0.1; //back pressure in bar //At 0.1 bar, from steam tables hf=191.8; //in kJ/kg //ETArankine=(hg1-h2)/(hg1-hf2) ETArankine=(h12)/(h1-hf); Wuse=h12; //useful work done per kg of steam in kJ/kg ssc=1/Wuse*3600; //specific steam consumption printf('(i) The Rankine efficiency is: %1.4f or %2.2f percent. \n',ETArankine,(ETArankine*100)); printf('(ii) The Specific steam consumption is: %1.3f kg/kWh. \n',ssc);
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Ex_8_4.sce
//Example 8.4 // Average nummber of photon clc; clear; close; //given data : format('v',5) M=80;// multiplication factor K=0.02;// carrier ionization rates eta=85/100;// quntum efficiency Bt=0.6;// assuming a raised cosine signal spectrum SbyN=144; FM=(K*M)+(2-(1/M))*(1-K); eta_max=(2*Bt*FM*SbyN)/(eta); disp(eta_max,"The average number of photon,(photon) = ") // answer is wrong in a textbook
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ex3_6.sce
// Example 3.6, page no-92 clear clc lam=10^-10//m h=6.626*10^-34 m=1.675*10^-27 e1=1.602*10^-19//ev e=(h^2)/(2*m*lam^2) e=e/e1 printf("\nThe energy of thermal neutron with wavelength 1A° is %f eV",e)
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9_2.sce
printf("\t example 9.2 \n"); printf("\t approximate values are mentioned in the book \n"); V1=4670; // inlet air volume,cfm Pp=0.8153; // Saturation partial pressure of water at 95F,psi,from table 7 Ps=404.3;// Saturation specific volume of water at 95F,ft^3/lb, from table 7 printf("\t The air and water both occupy the same volume at their respective partial pressures \n"); Vw1=(V1*60/Ps); // water entering per hr,lb printf("\t volume of water entering is : %.0f lb \n",Vw1); printf("\t for first stage \n"); c=2.33; // compression ratio P1=14.7; // psi P2=(P1*c); // (c=(P2/P1)),psi printf("\t P2 is : %.1f psi \n",P2); gama=1.4; // for air T1abs=95; // F T2absr=((T1abs+460)*(P2/P1)^((gama-1)/gama)); printf("\t T2absr is : %.0f R \n",T2absr); T2abs=(T2absr-459.67); // F printf("\t T2abs is : %.0f F \n",T2abs); printf("\t for intercooler \n"); V2=(V1*60*P1/P2); // ft^3/hr printf("\t final gas volume is : %.1e ft^3/hr \n",V2); Vw2=(V2/Ps); // water remaining in air, lb/hr printf("\t water remaining in air is : %.0f lb/hr \n",Vw2); C=(Vw1-Vw2); // condensation in inter cooler, lb/hr printf("\t condensation in inter cooler is : %.0f lb/hr \n",C); Vs=14.8; // Specific volume of atmospheric air,ft^3/lb printf("\t Specific volume of atmospheric air is : %.1f ft^3/lb \n",Vs); Va=(V1*60/Vs); // air in inlet gas, lb/hr printf("\t air in inlet gas is : %.2e lb/hr\n",Va); printf("\t heat load(245 to 95F) \n)"); printf("\t sensible heat \n"); Qair=((Va)*(0.25)*(245-T1abs)); // Btu/hr printf("\t Qair is : %.2e Btu/hr \n",Qair); Qwaters=(Vw1*0.45*(245-T1abs)); // Btu/hr printf("\t Qwaters is : %.2e Btu/hr \n",Qwaters); printf("\t latent heat \n"); l=1040.1; // latent heat Qwaterl=(C*l); // Btu/hr printf("\t Qwater1 is : %.2e Btu/hr \n",Qwaterl); Qt1=Qair+Qwaters+Qwaterl; printf("\t total heat is : %.3e Btu/hr \n",Qt1); printf("\t for second stage \n"); c=2.33; // compression ratio P3=(P2*c); // (c=(P3/P1)),psi printf("\t P3 is : %.1f psi \n",P3); V3=(V1*60*P1/P3); // ft^3/hr printf("\t final gas volume is : %.2e ft^3/hr \n",V3); Vw3=(V3/Ps); // water remaining in air, lb/hr printf("\t water remaining in air is : %.1f lb/hr \n",Vw3); C1=(297-Vw3); // condensation in inter cooler, lb/hr printf("\t condensation in inter cooler is : %.1f lb/hr \n",C1); printf("\t heat load(245 to 95F) \n)"); printf("\t sensible heat \n"); Qair=(Va*0.25*(245-T1abs)); // Btu/hr printf("\t Qair is : %.2e Btu/hr \n",Qair); Qwaters=(Vw2*0.44*(245-T1abs)); // Btu/hr printf("\t Qwater is : %.2e Btu/hr \n",Qwaters); printf("\t latent heat \n"); l=1040.1; // latent heat Qwaterl=(C1*l); // Btu/hr, calculation mistake in book printf("\t Qwater is : %.2e Btu/hr \n",Qwaterl); Qt1=Qair+Qwaters+Qwaterl; printf("\t total heat is : %.3e Btu/hr \n",Qt1); // end
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Chapter1_Example17.sce
clc clear //INPUT DATA BP4=16.25;//Total Brake power BP1c=11.55;//Brake power of 1st cylinder BP2c=11.65;//Brake power of 2nd cylinder BP3c=11.70;//Brake power of 3rd cylinder BP4c=11.50;//Brake power of 4th cylinder mf=0.08;//mass flow rate in kg/s cv=42500;//calorific value d=9;//bore L=9;//stroke Vc=65;//clearance volume in cm^3 g=1.4;//inert gas constnat //CALCULATIONS IP1=BP4-BP1c;//Indicated power of 1st cylinder IP2=BP4-BP2c;//Indicated power of and cylinder IP3=BP4-BP3c;//Indicated power of 3rd cylinder IP4=BP4-BP4c;//Indicated power of 4th cylinder IP=IP1+IP2+IP3+IP4;//Total indicated power in kW nbt=(BP4*100/(mf*cv))*100;//Brake thrmal efficiency in percentage nit=(IP*100/(mf*cv))*100;//Indicated thermal efficiency in percentage Vs=(3.14*(d^2)*L/4);//swept volume in cm^3 Rc=(Vs+Vc)/Vc;//Compression ratio no=(1-(1/Rc^(g-1)));//Air standard efficiency in percentage nr=(nit/no);//Relative efficiency in percentage //OUTPUT printf('(i)Indicated power is %3.2f kW \n (ii)indicated thermalefficiency %3.2f percentage \n brake efficiency is %3.2f percentage \n (iii)realtive efficiency is %3.2f percentage',IP,nit,nbt,nr)
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EX5_18.sce
//Chapter 5, Example 5.18 clc //Variable Declaration r2 = 25 //resistance2 r1 = 20 //resistance1 e1 = -19 //supplt voltage1 e2 = 35 //supply voltage2 //Calculation r = r1+r2 //total resistance e = e2-e1 //total supply voltage i = e/r //current in ampere vab = i*r2 //voltage Vab vcb = -i*r1 //voltage Vcd vc = e1 //voltage Vc //Results printf("Vab = %d V \n",vab) printf("Vcb = %d V \n",vcb) printf("Vc = %d V \n",vc)
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Ex_8_14_a.sce
// Example 8.14.a //optical power budget clc; clear; close; mip=-10;//dBm mop=-25;//dBm tsm=mip-mop;//dB disp(tsm,"total system margin in dB is") l=2;//km fcl=3.2;//dB lfc=l*fcl;//fiber cable loss in dB sl=0.8;//dBm slc=sl*l;//dB cl=1.6;//dB sm=4;//dB tsm1=lfc+slc+cl+sm;//dB disp(tsm1,"total system margin in dB is") epm=tsm-tsm1;//dB disp(epm,"excess power margin in dB is")
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Exx13_3.sce
//Example 13.3 //Prediction of long time properties //Page No. 464 clc;clear;close; t=10^5; //in hr C1=20; //in no unit T1=1200; //in Fahrenheit T2=1600; //in Fahrenheit P_1200=(T1+460)*(log10(t)+C1); P_1600=(T2+460)*(log10(t)+C1); printf('\nAt T = 1200 F, P = %g\nAt T = 1600 F, P = %g\nAnd from the master ploy of Astroploy, corresponding stress required are sigma = 78000 psi and sigma = 11000 psi',P_1200,P_1600);
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LVRT_LV3.tst
<scriptConfig name="LVRT_LV3" script="SA9_volt_ride_through"> <params> <param name="vrt.v_test" type="float">0.0</param> <param name="eut.t_msa" type="float">1.0</param> <param name="vrt.t_hold" type="float">1.0</param> <param name="gridsim.frea.phases" type="int">1</param> <param name="eut.v_msa" type="float">2.0</param> <param name="vrt.n_r" type="int">3</param> <param name="eut.vrt_t_dwell" type="int">5</param> <param name="vrt.v_grid_min" type="float">100.0</param> <param name="vrt.v_grid_max" type="float">100.0</param> <param name="eut.v_nom" type="float">190.0</param> <param name="gridsim.frea.ip_port" type="int">2001</param> <param name="eut.p_rated" type="int">40000</param> <param name="gridsim.frea.ip_addr" type="string">127.0.0.1</param> <param name="aist.script_version" type="string">2.0.0</param> <param name="aist.library_version" type="string">2.1.0</param> <param name="hil.mode" type="string">Disabled</param> <param name="loadsim.mode" type="string">Disabled</param> <param name="der.mode" type="string">Disabled</param> <param name="gridsim.auto_config" type="string">Enabled</param> <param name="vrt.p_20" type="string">Enabled</param> <param name="vrt.p_100" type="string">Enabled</param> <param name="gridsim.mode" type="string">FREA_AC_Simulator</param> <param name="das_das_wf.mode" type="string">Manual</param> <param name="das_das_rms.mode" type="string">Manual</param> <param name="eut.phases" type="string">Single Phase</param> <param name="gridsim.frea.comm" type="string">TCP/IP</param> <param name="vrt.test_label" type="string">lvrt_lv3</param> </params> </scriptConfig>
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5_08.sce
//pathname=get_absolute_file_path('5.08.sce') //filename=pathname+filesep()+'5.08-data.sci' //exec(filename) //Maximum temperature(in K): T1=1800 //Minimum temperature(in K): T2=300 //Rate at which heat is added(in MW): Q1=5 //Work output(in MW): W=2 //Heat rejected(in MW): Q2=Q1-W //Entropy generated(in MW/K): dSg=(-Q1/T1+Q2/T2) //Work lost(in MW): w=T2*dSg printf("\nRESULT\n") printf("\nWork lost = %f MW",w)
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ex10_10.sce
// Exa 10.10 clc; clear; close; format('v',6) // Given data A = 200; Beta = 5/100; Af =A/(1 + (A*Beta)); disp(Af,"The gain of the amplifier with negative feedback is : ") Dn = 10;// in % Ddesh_n = Dn/(1+(A*Beta));// in % disp(Ddesh_n,"The distortion with negative feedback in % is : "); // Note: In the book, the calculation to find the gain of the amplifier with negative feedback i.e Af is wrong.
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example11_4.sce
clear clc //Example 11.4 TERMINAL VELOCITY OF A SPHERE IN WATER //To find Approx Value function [A]= approx (V,n) A= round(V*10^n)/10^n; //V-Value, n-to what place funcprot (0) endfunction d=0.02; //diameter [m] A=%pi*(d^2)/4 //area [m^2] Vol=%pi*(d^3)/6 //volume [m^3] v=10^-6; //viscosity [m^2/s] //Specific weights g_sphere=12.7*10^3; //[N/m^3] g_water=9.79*10^3; //[N/m^3] rho=998; //density [kg/m^3] //Force equilibrium, F_drag+F_buoyancy=W //F_drag=CD*A*rho*Vo^2/2 W=g_sphere*Vol //weight [N] F_b=g_water*Vol //buoyant force [N] V(1)=0; //Assume initial value of Vo=1 V(2)=1; //Iterate until Vo reaches a constant value for i=2:1:7 //say 6 iterations if(V(i)~=V(i-1)) Re=V(i)*d/v; CD=24*(1+0.15*(Re^0.687))/Re +0.42/(1+4.25*10^4*Re^(-1.16)); V(i+1)=approx((2*(W-F_b)/(CD*rho*A))^0.5,3); else Vo=V(i) break; end end printf("\nThe terminal velocity Vo = %.3f m/s.\n",Vo)
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//Example number 4.2, Page number 66 clc;clear; close; //Variable declaration d=3.04*10**-10; //lattice spacing(m) n=3; //order lamda=0.79*10**-10; //wavelength(m) //Calculation theta=asin(n*lamda/(2*d)); //glancing angle(radian) theta=theta*180/%pi; //glancing angle(degrees) //Result printf("glancing angle is %.3f degree",theta)
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ex12_3.sce
// Example 12.3, page no-351 clear clc k=371//J/msk delT=50//in degrees delx=10*10^-3 ht=k*delT/delx printf("The steady state heat transfer of 10 mm copper sheet is %.3f *10^6 J.m^-2.s^-1",ht*10^-6)
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// 2.37 clc; displacement=0.5; Vo=2*10^-3; Se_LVDT=Vo/displacement; printf("senstivity of the LVDT=%.3f V/mm",Se_LVDT) Af=250; Se_instrument=Se_LVDT*Af; printf("\nSenstivity of the instrument=%.1f V/mm",Se_instrument) sd=5/100; Vo_min=50/5; Re_instrument=1*1/1000; printf("\nresolution of instrument=%.3f mm",Re_instrument)
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Ex8_7.sce
//chapter 8 //example 8.7 //Calculate Hystersis loss per cycle //page 238 clear; clc; //given A=100; // in m^2 (area of Hysteresis loop) B=0.01; // in Wb/m^2 (unit space along vertical axis or magnetic flux density) H=40; // in A/m (unit space along horizontal axis or magnetic fild ntensity) //calculate H_L=A*B*H; // calculation of magnetic intensity printf('\nThe Hystersis loss per cycle is %.f J/m^2',H_L);
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/solvers/IncNavierStokesSolver/Tests/CubeAllElements_ChanFlow.tst
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CubeAllElements_ChanFlow.tst
<?xml version="1.0" encoding="utf-8" ?> <test> <description>3D channel flow, all elements, HDF5 input, P=3</description> <executable>IncNavierStokesSolver</executable> <parameters>CubeAllElements_ChanFlow.xml</parameters> <files> <file description="Session File">CubeAllElements_ChanFlow.xml</file> <file description="Geometry File">CubeAllElements_ChanFlow.nekg</file> </files> <metrics> <metric type="L2" id="1"> <value variable="u" tolerance="1e-12">1.3823e-15</value> <value variable="v" tolerance="1e-12">1.51882e-15</value> <value variable="w" tolerance="1e-12">6.24669e-15</value> <value variable="p" tolerance="1e-8">1.19474e-13</value> </metric> <metric type="Linf" id="2"> <value variable="u" tolerance="1e-12">7.06676e-15</value> <value variable="v" tolerance="1e-12">8.366e-15</value> <value variable="w" tolerance="1e-12">6.00076e-14</value> <value variable="p" tolerance="1e-8">1.49414e-12</value> </metric> </metrics> </test>
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ex14_2.sce
//Finding the Performance Parameter of a forward converter //Example 14.2(Page No-611) clc clear //given data V0=24//in volts R=0.8//in ohms I0=V0/R//in amperes Vd=0.7//voltage drop across diodes Vs=12//in volts Vt=1.2//in volts k=0.4 f=1000//Hz //part (a) P0=V0*I0//o/p power in watts V2=V0+Vd V1=Vs-Vt a=V2/V1 Is=(Vd*I0+P0)/(Vs-Vt*k-Vd*(1-k)) printf('(a) Average input current Is:%2.2f A\n',Is) //part b Pi=Vs*Is//i/p power n=P0/Pi printf('(b) Efficiency n:%2.2f %%\n',n*100) //part(c) Ia=k*Is printf('(c) The average transistor currentIa:%2.2f A\n',Ia) //part(d) Ip=Is de_Ip=0.05*Is//peak to peak ripple current is 5%of avg dc i/p printf('(d) peak transistor currentIp:%2.3f A\n',de_Ip) //part(e) Ir=sqrt(k)*sqrt(Ip^2+de_Ip/3+Ip*de_Ip) printf('(e) RMS transistor current:%2.2f A\n',Ir) //part(f) Voc=Vs+V2/a printf('(f) Open circuit transistor voltageVoc:%2.2f V\n',Voc) //part (g) de_IL1=0.04*I0//peak to peak ripple current is 5%of avg value de_V0=0.03*V0//ripple content of output voltage is 3% L=de_V0*k/(f*de_IL1) Lp=L*10^3 printf('(g) primary magnetizing inductor Lp:%5.3f mH\n',Lp) //part(h) Lo=(Vs-Vt)*k/(f*(de_Ip-a*de_IL1)) L1=Lo*10^3 printf('(h) Output inductance for maintaining P-P ripple currentL1:%2.2f mH\n',L1)
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Krunker Strafes 360.sce
Name=Krunker Strafes 360 PlayerCharacters=Character Profile BotCharacters=Quaker Bot.bot;Quaker Bot.bot;Quaker Bot.bot;Quaker Bot.bot IsChallenge=true Timelimit=60.0 PlayerProfile=Character Profile AddedBots=Quaker Bot.bot;Quaker Bot.bot PlayerMaxLives=0 BotMaxLives=0;0 PlayerTeam=1 BotTeams=0;0 MapName=flat_field_mini.map MapScale=5.0 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=true InvincibleBots=false Timescale=1.0 BlockHealthbars=false TimeRefilledByKill=0.0 ScoreToWin=100000.0 ScorePerDamage=0.0 ScorePerKill=1.0 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=Krunker WeaponHeroTag=LG DifficultyTag=4 AuthorsTag=Igglez BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=true BlockFCT=false Description=Close tracking training on a slide-hopping target (modified from close krunker strafes) GameVersion=2.0.2.0 ScorePerDistance=0.0 MBSEnable=false MBSTime1=0.25 MBSTime2=0.5 MBSTime3=0.75 MBSTime1Mult=1.0 MBSTime2Mult=2.0 MBSTime3Mult=3.0 MBSFBInstead=false MBSRequireEnemyAlive=false LockFOVRange=false LockedFOVMin=60.0 LockedFOVMax=120.0 LockedFOVScale=Clamped Horizontal [Aim Profile] Name=At Feet MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=-200.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 AimingStyle=Original ScanSpeedMultiplier=1.0 MaxSeekPitch=30.0 MaxSeekYaw=30.0 AimingSpeed=5.0 MinShootDelay=0.3 MaxShootDelay=0.6 [Aim Profile] Name=Low Skill MinReactionTime=0.35 MaxReactionTime=0.45 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=20.0 TrackSpeed=3.0 TrackError=5.0 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=60.0 ShootFOV=25.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 AimingStyle=Original ScanSpeedMultiplier=1.0 MaxSeekPitch=30.0 MaxSeekYaw=30.0 AimingSpeed=5.0 MinShootDelay=0.3 MaxShootDelay=0.6 [Aim Profile] Name=Default MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 AimingStyle=Original ScanSpeedMultiplier=1.0 MaxSeekPitch=30.0 MaxSeekYaw=30.0 AimingSpeed=5.0 MinShootDelay=0.3 MaxShootDelay=0.6 [Bot Profile] Name=Quaker Bot DodgeProfileNames=Long Strafes Jumping;Long Strafes Jumping;Long Strafes Jumping;Long Strafes Jumping DodgeProfileWeights=2.0;3.0;1.0;2.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;0.0;1.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=At Feet;At Feet;Low Skill;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=true CharacterProfile=Quaker SeeThroughWalls=false NoDodging=false NoAiming=false AbilityUseTimer=0.1 UseAbilityFrequency=1.0 UseAbilityFreqMinTime=0.3 UseAbilityFreqMaxTime=0.6 ShowLaser=false LaserRGB=X=1.000 Y=0.300 Z=0.000 LaserAlpha=1.0 [Character Profile] Name=Character Profile MaxHealth=100.0 WeaponProfileNames=LG;;;;;;; MinRespawnDelay=0.1 MaxRespawnDelay=0.1 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=8.0 MovementType=Base MaxSpeed=1000.0 MaxCrouchSpeed=500.0 Acceleration=16000.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=800.0 Gravity=0.0 AirControl=0.25 CanCrouch=true 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=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Cylindrical MainBBHeight=230.0 MainBBRadius=55.0 MainBBHasHead=true MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=true ProjBBHeadRadius=45.0 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=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.1 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=0.25 ThirdPersonCamera=false TPSArmLength=500.0 TPSOffset=X=0.000 Y=125.000 Z=40.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 TerminalVelocity=0.0 CharacterModel=None CharacterSkin=Default SpawnXOffset=0.0 SpawnYOffset=0.0 InvertBlockedSpawn=false ViewBobTime=0.0 ViewBobAngleAdjustment=0.0 ViewBobCameraZOffset=0.0 ViewBobAffectsShots=false IsFlyer=false FlightObeysPitch=false FlightVelocityUp=800.0 FlightVelocityDown=800.0 [Character Profile] Name=Quaker MaxHealth=275.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=0.001 MaxRespawnDelay=0.001 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=2.0 CameraOffset=X=0.000 Y=0.000 Z=80.000 HeadshotOnly=false DamageKnockbackFactor=0.0 MovementType=Base MaxSpeed=2600.0 MaxCrouchSpeed=500.0 Acceleration=100000.0 AirAcceleration=16000.0 Friction=4.0 BrakingFrictionFactor=2.0 JumpVelocity=1150.0 Gravity=3.0 AirControl=0.0 CanCrouch=true CanPogoJump=false CanCrouchInAir=true CanJumpFromCrouch=false EnemyBodyColor=X=0.771 Y=0.000 Z=0.000 EnemyHeadColor=X=1.000 Y=1.000 Z=1.000 TeamBodyColor=X=1.000 Y=0.888 Z=0.000 TeamHeadColor=X=1.000 Y=1.000 Z=1.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=0.0 MainBBType=Cylindrical MainBBHeight=280.0 MainBBRadius=70.0 MainBBHasHead=true MainBBHeadRadius=70.0 MainBBHeadOffset=-30.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=230.0 ProjBBRadius=70.0 ProjBBHasHead=true ProjBBHeadRadius=300.0 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=true AerialFriction=0.25 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=700.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=true BounceOffWalls=true 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=0.0 TerminalVelocity=0.0 CharacterModel=None CharacterSkin=Default SpawnXOffset=0.0 SpawnYOffset=0.0 InvertBlockedSpawn=false ViewBobTime=0.0 ViewBobAngleAdjustment=0.0 ViewBobCameraZOffset=0.0 ViewBobAffectsShots=false IsFlyer=false FlightObeysPitch=false FlightVelocityUp=800.0 FlightVelocityDown=800.0 [Dodge Profile] Name=Long Strafes Jumping MaxTargetDistance=3000.0 MinTargetDistance=0.0 ToggleLeftRight=true ToggleForwardBack=true MinLRTimeChange=0.5 MaxLRTimeChange=3.0 MinFBTimeChange=0.5 MaxFBTimeChange=1.5 DamageReactionChangesDirection=false DamageReactionChanceToIgnore=0.5 DamageReactionMinimumDelay=0.125 DamageReactionMaximumDelay=0.25 DamageReactionCooldown=1.0 DamageReactionThreshold=0.0 DamageReactionResetTimer=0.1 JumpFrequency=0.5 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=0.1 MaxJumpTime=0.1 LeftStrafeTimeMult=1.0 RightStrafeTimeMult=1.0 StrafeSwapMinPause=0.0 StrafeSwapMaxPause=0.0 BlockedMovementPercent=0.5 BlockedMovementReactionMin=0.125 BlockedMovementReactionMax=0.2 WaypointLogic=Ignore WaypointTurnRate=200.0 MinTimeBeforeShot=0.15 MaxTimeBeforeShot=0.25 IgnoreShotChance=0.0 ForwardTimeMult=1.0 BackTimeMult=1.0 DamageReactionChangesFB=false [Weapon Profile] Name=LG Type=Hitscan ShotsPerClick=1 DamagePerShot=6.0 KnockbackFactor=2.0 TimeBetweenShots=0.046 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=true HeadshotMultiplier=2.0 MagazineMax=0 AmmoPerShot=1 ReloadTimeFromEmpty=0.5 ReloadTimeFromPartial=0.5 DamageFalloffStartDistance=100000.0 DamageFalloffStopDistance=100000.0 DamageAtMaxRange=7.0 DelayBeforeShot=0.0 ProjectileGraphic=Ball VisualLifetime=0.05 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=0.08 HitSoundCooldown=0.08 HitscanVisualOffset=X=0.000 Y=0.000 Z=-80.000 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 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=0 CancelReloadOnKill=false FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=72.099998 ADSFOVScale=Overwatch ADSAllowUserOverrideFOV=true IsBurstWeapon=false ForceFirstPersonInADS=true ZoomBlockedInAir=false ADSCameraOffsetX=0.0 ADSCameraOffsetY=0.0 ADSCameraOffsetZ=0.0 QuickSwitchTime=0.1 WeaponModel=Heavy Surge Rifle WeaponAnimation=Primary UseIncReload=false IncReloadStartupTime=0.0 IncReloadLoopTime=0.0 IncReloadAmmoPerLoop=1 IncReloadEndTime=0.0 IncReloadCancelWithShoot=true WeaponSkin=Default ProjectileVisualOffset=X=0.000 Y=0.000 Z=0.000 SpreadDecayDelay=0.0 ReloadBeforeRecovery=true 3rdPersonWeaponModel=Pistol 3rdPersonWeaponSkin=Default ParticleMuzzleFlash=None ParticleWallImpact=None ParticleBodyImpact=None ParticleProjectileTrail=None ParticleHitscanTrace=Tracer ParticleMuzzleFlashScale=1.0 ParticleWallImpactScale=1.0 ParticleBodyImpactScale=1.0 ParticleProjectileTrailScale=1.0 Explosive=false Radius=500.0 DamageAtCenter=100.0 DamageAtEdge=0.0 SelfDamageMultiplier=0.5 ExplodesOnContactWithEnemy=false DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=false DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=0.0 BlockedByWorld=false SpreadSSA=1.0,1.0,-1.0,0.0 SpreadSCA=1.0,1.0,-1.0,0.0 SpreadMSA=1.0,1.0,-1.0,0.0 SpreadMCA=1.0,1.0,-1.0,0.0 SpreadSSH=1.0,1.0,-1.0,0.0 SpreadSCH=1.0,1.0,-1.0,0.0 SpreadMSH=1.0,1.0,-1.0,0.0 SpreadMCH=1.0,1.0,-1.0,0.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=false TimeToRecoilPeak=0.05 TimeToRecoilReset=0.35 AAMode=0 AAPreferClosestPlayer=false AAAlpha=0.05 AAMaxSpeed=1.0 AADeadZone=0.0 AAFOV=720.0 AANeedsLOS=true 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2020-04-09T02:43:26.499817
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//Example No. 5.7 clc; clear; close; format('v',7); //Given Data : I=50;//A V=200;//volt N=1000;//rpm Ra=0.2;//ohm Eb=V-I*Ra;//V Rt=(V+Eb)/2/I;//ohm(Total resistance required) disp(Rt-0.5,"Additional resistance required to limit the current in ohm : "); omega_m=N/60*2*%pi;//rad/s T=Eb*2*I/omega_m;//N-m disp(T,"Braking torque in N-m : "); Eb=0;//for speed=0 I=V/Rt;//A //T proportional to I(for separately excited motor) T=T*(I/100);//N-m disp(T,"Torque when speed decreased to zero in N-m : ");
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//Optoelectronics and Fiber Optics Communication by C.R. Sarkar and D.C. Sarkar //Example 1.2 //OS = Windows 7 //Scilab version 5.5.2 clc; clear; //given NA=0.3;//numerical aperture of the optical fiber na=1;//refractive index of air Alpham=(asind(NA));//acceptance angle for the meridional rays gamma0=45;//in degrees Alphasm=(asind(NA)/cosd(gamma0));//acceptance angle for skew rays mprintf("\n Acceptance angle for the meridional rays is= %.2f degrees",Alpham); mprintf("\n Acceptance angle for the skew rays is = %.2f degrees",Alphasm); //The answer vary due to rounding
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//clear// //Caption:Power spectra of M-ary PSK signals //Figure7.31 Comparison of Power Spectral Densities of M-ary PSK signals rb = input('Enter the bit rate='); Eb = input('Enter the energy of the bit='); f = 0:1/100:rb; Tb = 1/rb; //Bit duration M = [2,4,8]; for j = 1:length(M) for i= 1:length(f) SB_PSK(j,i)=2*Eb*(sinc_new(f(i)*Tb*log2(M(j)))^2)*log2(M(j)); end end a=gca(); plot2d(f*Tb,SB_PSK(1,:)/(2*Eb)) plot2d(f*Tb,SB_PSK(2,:)/(2*Eb),2) plot2d(f*Tb,SB_PSK(3,:)/(2*Eb),5) xlabel('Normalized Frequency ---->') ylabel('Normalized Power Spectral Density--->') title('Power Spectra of M-ary signals for M =2,4,8') legend(['M=2','M=4','M=8']) xgrid(1) //Result //Enter the bit rate in bits per second:2 //Enter the Energy of bit:1
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clc() clear all function result=f(x) result = 0.2+25*x-200*x^2+675*x^3-900*x^4+400*x^5 endfunction function result=reglaSimpson38(a,b,funcion) h = (b-a)/3 x0 = a x1 = x0+h x2 = x1+h x3 = b result=(b-a)*(funcion(x0)+3*funcion(x1)+3*funcion(x2)+funcion(x3))/8 endfunction a = 0 b = 0.8 disp("integral") integral = integrate("0.2+25*x-200*x^2+675*x^3-900*x^4+400*x^5",'x',a,b) disp(integral) aproximacion = reglaSimpson38(a,b,f) disp(aproximacion) disp("error") disp((integral-aproximacion)*100/integral)
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2_8.sce
//page no:2-17 //Example:2.8 clc; //given modulation indices are 0.6, 0.3 and 0.4 u1=0.6; u2=0.3; u3=0.4; ut=sqrt(u1^2+u2^2+u3^2); disp(ut,'Total Modulation index is ');
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Hc=670;G=5;D=10;A=5;B=10;Bg=1;Z=4*%pi*10^-7;N=250;Area=700; Lc=2*(A+B)+2*(G+D) Hg=Bg/Z Lc=60/100 Hg=Bg/Z Ni=(Hc*Lc)+(Hg*2*G*10^-3) I=Ni/N Vdc=I*G Wfc=Area/2 Vc=2*(G*10^-2*D*10^-2*0.20)+2*(A*10^-2*B*10^-2*0.10) Wfc=Wfc*Vc Wfg=1.0/(2*Z) Vg=2*(G*10^-2*10*10^-2*0.005) Wfg=(Wfg*G*10^-2*10^-3) Wf=Wfc+Wfg
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Ex14_9.sce
errcatch(-1,"stop");mode(2);//Caption:Find (a)Armature current of second machine (b)Power factor of ecach machine //Exa:14.9 ; ; L=1000//Total load(in KW) V=6600//Total voltage(in volts) pf=0.8//Power factor Ia=50//Armature current(in A) L1=L/2 Ia1=(L1*1000)/(sqrt(3)*V) pf1=Ia1/Ia a1=acosd(pf1) b=tand(a1) P1=L1*b Pl=L*tand(acosd(pf)) P2=P1-Pl pf2=cosd(atand(P2/L1)) Ia2=Ia1/pf2 disp(Ia2,'(a)Armature current of second machine(in A)=') disp(pf1,pf2,'(b)Power factor of both machines=') exit();
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// Example 6.5 //Program illustrate use of the break statement disp("This program computes the avarage of set of numbers"); disp("Enter values and enter a NEGATIVE value at the end"); sum1=0; for m=1:1000 x=scanf("%f"); //Read data if(x<0) then break; //EXIT FROM LOOP end sum1=sum1+x; //Computes sum end average=sum1/(m-1); //Computes Average //Print the results printf("Number of values =%d\n",m-1); printf("sum1=%f\n",sum1); printf("Avarage =%f\n",average);
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Ex17_1.sce
clear; clc; //Example 17.1 V1=5; V2=-5; Rc1=1; Rc2=Rc1; Rc=Rc1; Re=2.150; v2=0; //for v1=0 vE=-0.7; iE=(vE-V2)/Re; printf('\nemitter current=%.3f mA\n',iE) iC=1; Vcc=5; vo1=Vcc-iC*Rc; printf('\nvo1=vo2=%.f V\n',vo1) //for v2=-1 vE=-0.7; iE=2; iC2=2; vo1=5; vo2=Vcc-iC2*Rc; printf('\nvo2=%.2f V\n',vo2) v1=1; Vbe=0.7; vE=v1-Vbe; iE=(vE-V2)/Re; printf('\nemitter current =%.3fmA\n',iE) iC1=iE; vo1=Vcc-iC1*Rc; printf('\nvo1=%.2f V\n',vo1) vo2=Vcc
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Example10_29.sce
//Chapter-10,Example10_29,pg10_70 P=4 f=50 R2=0.025 X2=0.15 sfl=0.04 Tfl=150 sm=R2/X2 Tm=Tfl*((R2^2)+((sfl*X2)^2))*sm/(sfl*((R2^2)+((sm*X2)^2))) Ns=120*f/P N=Ns*(1-sm) //at start R21=X2 Rex=R21-R2 printf("maximum torque\n") printf("Tm=%.2f Nm\n",Tm) printf("speed N=%.f r.p.m\n",N) printf("external resistance\n") printf("Rex=%.3f ohm/ph",Rex)
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ex_9.sce
//Example 9 // Frequency clc; clear; close; //given data : l=1.2;// in m v=5150;// in m/s d=0.006;// in m k=d/sqrt(12); v1=%pi*v*k*3.011^2/(8*l^2); disp(v1,"The frequency,v1(Hz) = ")
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BorderImage { border.left: 5 border.top: 5 border.bottom: 5 border.right: 5 source: "wrongImage.png" }
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Ex8_14.sce
clc //initialization of new variables clear D=0.3 //m u=35 //m/s r=1.2 //kg/m^3 mu=1.81*10^-5 St=0.23 //calculations Re=r*u*D/mu f=St*u/D //results printf('So there are %d full cycles per second',f)
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Ex3_5.sce
clear //Given p_in = 0.7 //MPa - internal pressure n_bolts = 20 // number of bolts dia = 650 //mm - bolt circle diameter stress_allow = 125 //MPa Maximum alowable stress Stress_conc = 2 //stress concentration d = 25 //mm //calculations F = p_in*3.14*(((dia-2*d)/2)**2)*(10**6) //N F_each = F/n_bolts //N- force per each Bolt A = Stress_conc*F_each/(stress_allow*(10**6)) //sq.mm The bolt area Bolt_dia = 2*((A/3.14)**0.5) //mm the bolt daimeter printf("\n The diameter of each bolt is %0.1f mm",Bolt_dia)
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function plot_sig(fig,data) f = figure(fig) clf plot(data, '--o') gca.data_bounds = [0,-0.5;size(data)(1),0.5] xlabel('Samples') ylabel('Amplitude') endfunction function run() b = chdir('.') exec('ADC.sce') // configs n = 5 fs = 50000 //quant_levels = -0.5:0.0005:0.1 quant_levels = -1:0.0005:1 // recorded data data = ADC(n, quant_levels, fs) plot_sig(1,data) // shifted data data = data + 0.1 plot_sig(2,data) // sin noise configs sin_freq = 210 sin_ampl = 0.1 step_size = sin_freq*(2*%pi)/fs; samples = [1:size(data)(1)]*step_size; // sin signal subtraction sin_sig = sin_ampl*sin(samples) data = data - sin_sig' plot_sig(3,data) playsnd(data, fs) endfunction run()
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// FUNDAMENTALS OF ELECTICAL MACHINES // M.A.SALAM // NAROSA PUBLISHING HOUSE // SECOND EDITION // Chapter 11 : SINGLE-PHASE MOTORS // Example : 11.6 clc;clear; // clears the console and command history // Given data r_t = 36 // rotor teeth of stepper motor N = 4 // stator phases // caclulations T_p = 360/r_t // tooth pitch teta = 360/(N*r_t) // step angle // display the result disp("Example 11.6 solution"); printf(" \n Tooth pitch \n T_p = %.0i degree \n", T_p ); printf(" \n Strp angle \n teta = %.1f degree \n", teta );
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//Exa2.15.3 clc; clear; close; // Given data T1 = 300;// in K T2 = 400;// in K del_E = 0.27;// Fermi level in eV KT = (0.0259) * (T2/T1);// in eV N_v = 1.04 * 10^19;// in cm^-3 N_v = N_v * (T2/T1)^(3/2);// in cm^-3 p_o = N_v * exp(-(del_E)/KT);// in per cm^3 disp(p_o,"The thermal equilibrium hole concentration in per cm^3 is");
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8_2.sce
clc //initialisation of variables P= 10 //bar P1= 38 //bar T= 310 //C v= 64.03 //cm^3/gm s= 6.4415 //J/gm K vf= 1.12773 //cm^3/gm vg= 194.44 //cm^3/gm sf= 2.1387 //J/gm K sfg= 4.4478 //J/gm K //CALCULATIONS x= (v-vf)/(vg-vf) sx= sf+x*sfg S= s-sx //RESULTS printf ('Change in Entropy= %.3f J/gm',S)
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StdProject1D_Seg_Orth_P6_Q7.tst
<?xml version="1.0" encoding="utf-8"?> <test> <description>StdProject1D Segment Orthonormal basis P=6 Q=7</description> <executable>StdProject1D</executable> <parameters>1 6 7</parameters> <metrics> <metric type="L2" id="1"> <value tolerance="1e-12">5.37715e-16</value> </metric> <metric type="Linf" id="2"> <value tolerance="1e-12">1.16573e-15</value> </metric> </metrics> </test>
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Example_4_11_a.sce
// Chapter4 // Page.No-141, Figure.No-4.28 // Example_4_11_a // Output offset voltage // Given clear;clc; delta_Vio=15.85*10^-6; // Change in input offset voltage delta_V=1; // Unit change in supply voltage V=2; // Change in supply voltage R1=1*10^3;Rf=100*10^3; delta_Voo=(1+Rf/R1)*(delta_Vio/delta_V)*V; // Change in output offset voltage printf("\n Change in output offset voltage is = %.4f V \n",delta_Voo) // Result
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xor_input.sce
//xor_ex_clk_sr = [0 1 0 0 0 0 linspace(0,0,32)]; // 1st xor_ex_clk_sr = [0 1 0 1 0 0 linspace(0,0,32)]; // 2nd //xor_ex_clk_sr = [0 1 0 1 0 1 linspace(0,0,32)]; // 3rd XOR output xor_ex_data_sr = [1 1 linspace(0,0,36)]; xor_ex_Vin=[ linspace(2.1,2.1,6) linspace(2.5,2.5,8) linspace(2.5,2.5,8) linspace(2.5,2.5,8) linspace(2.5,2.5,8); linspace(2.1,2.1,6) linspace(2.1,2.1,8) linspace(2.1,2.1,8) linspace(2.5,2.5,8) linspace(2.5,2.5,8); linspace(2.1,2.1,6) linspace(2.5,2.5,8) linspace(2.1,2.1,8) linspace(2.1,2.1,8) linspace(2.5,2.5,8); linspace(2.1,2.1,6) linspace(2.1,2.1,8) linspace(2.1,2.1,8) linspace(2.1,2.1,8) linspace(2.1,2.1,8);]; //xor_ex_Vin=[ //linspace(0.2,0.2,6) linspace(0.2,0.2,8) linspace(0.2,0.2,8) linspace(0.2,0.2,8) linspace(0.2,0.2,8); //linspace(0.2,0.2,6) linspace(0.2,0.2,8) linspace(0.2,0.2,8) linspace(2.2,2.2,8) linspace(2.2,2.2,8); //linspace(0.2,0.2,6) linspace(2.2,2.2,8) linspace(0.2,0.2,8) linspace(0.2,0.2,8) linspace(2.2,2.2,8); //linspace(0.2,0.2,6) linspace(2.2,2.2,8) linspace(2.2,2.2,8) linspace(2.2,2.2,8) linspace(2.2,2.2,8);]; //[4e-06,1e-10,1e-10,1e-10; 1e-10,4e-06,4e-06,1e-10; 3e-06,2e-06,2e-06,1e-10; 1e-10,1e-10,1e-10,1e-10] //[8e-06,1e-10,1e-10,1e-10; 1e-10,8e-06,8e-06,1e-10; 6e-06,4e-06,4e-06,1e-10; 1e-10,1e-10,1e-10,1e-10] //[400e-09,1e-10,1e-10,1e-10; 1e-10,400e-09,400e-09,1e-10;300e-09,200e-09,200e-09,1e-10; 1e-10,1e-10,1e-10,1e-10]
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Ex4_13.sce
clear // //Given //Variable declaration d=12 //Diameter of bar in mm delL=3 //Increase in length in mm W=8000 //Steady load in N P=800 //Falling weight in N h=8*10 //Vertical distance in mm E=2e5 //Youngs modulus in N/sq.mm //Calculation A=((%pi/4)*d**2) //Area of bar in sq.mm L=(E*A*delL/W) //Length of the bar in mm sigma=((P/A)*(1+(sqrt(1+((2*E*A*h)/(P*L)))))) sigma=(sigma) //Stress produced by the falling weight in N/sq.mm //Result printf("\n Stress produced by the falling weight = %0.3f N/mm^2",sigma)
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example5_2.sce
//exapple 5.2 clc; funcprot(0); // Initialization of Variable Q=0.885; pi=3.1428; s=1/960; s=round(s*1000000)/1000000; b=1.36; n=0.014; theta=55*pi/180; //calculation function[y]=flow(x); a=(x*(b+x/tan(theta)))/(b+2*x/sin(theta)); y=a^(2/3)*s^(1/2)*(x*(b+x/tan(theta)))/n-Q; endfunction x=fsolve(0.1,flow); disp(x,"depth of water in (m):")
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3_4.sce
disp(" % ionic character = (1-exp((-1/4)*(Xa-Xb)^2))*100"); Xa1=1.8;Xb1=2.2;Xa2=1.7;Xb2=2.5; a = (1-exp((-1/4)*((Xa1-Xb1)^2)))*100; b = (1-exp((-1/4)*((Xa2-Xb2)^2)))*100; printf('\n For GaAs,percent ionic character=%f',a); printf('\n For ZnSe,percent ionic character=%f',b);
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Example_18_3c.sce
//Elevated-Temperature Electrical Conductivity Calculations for Extrinsic Silicon clear; clc; printf("\tExample 18.3\n"); n=10^23; //m^-3 Carrier Concentration e=1.6*10^-19; //Coulomb Charge on electron printf("\n\tPart C\n"); //From graph 18.19a m_e2 is calculated corresponding to 373 K m_e2=0.04; //m^2/V-s Mobility of electron sigma2=n*e*m_e2; printf("\nConductivity at T=373 K becomes : %d (Ohm-m)^-1\n",sigma2); //End
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example3_8.sce
//clc() m1 = 1;//kg (mass in air) m2 = 0.9;//kg (mass in water) m3 = 0.82;//kg (mass in liquid) L1 = m2 - m1;//kg (loss of mass in water) L2 = m3 - m1;//kg (loss of mass in liquid) sp.g = L2 /L1; disp(sp.g,"specific gravity of liquid = ")
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Ex7_4.sce
clear //compute brake mean effective pressure //given T=350. D=4**0.25 L=5 M=4 //bmep for 4-cycle engine=192*t bmep=192*(T/(D**2)*L*M) //bmep for 2-cycle engine bmep2=bmep/2 printf("\n \n bmep for 4-cycle %.2f psi",bmep) printf("\n \n bmep for 2-cycle %.2f psi",bmep)
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example18.sce
clc clear //input data a1=75//Nozzle air angle in degree Rh=0//Degree of reaction N=6000//Running speed of hub in rpm Dh=0.45//Hub diameter in m Df=0.75//Tip diameter in m //calculations Uh=(3.1415*Dh*N)/60//Hub speed in m/s C1h=Uh/((sind(a1))/2)//Velocity of steam at exit from nozzle in hub in m/s Cah=C1h*cosd(a1)//Axial velocity at hub in m/s Cx1h=C1h*sind(a1)//Whirl component of velocity at inlet in hub in m/s b1h=atand((Cx1h-Uh)/Cah)//Rotor blade angle at entry at hub section in degree b2h=b1h//Rotor blade angle at exit at mean section in degree as zero reaction section sopt=sind(a1)/2//Blade to gas speed ratio at hub rm=((Dh/2)+(Df/2))/2//Mean radius in m rmrh=(rm/(Dh/2))^((sind(a1))^2)//Ratio of inlet velocity at hub and mean for constant nozzle air angle at hub section C1m=C1h/rmrh//Velocity of steam at exit from nozzle at mean section in m/s Cx1m=Cx1h/rmrh//Velocity of whirl at inlet at mean section in m/s Ca1m=Cah/rmrh//Axial velocity at mean section in m/s Um=(3.1415*2*rm*N)/60//Mean blade speed in m/s b1m=atand((Cx1m-Um)/Ca1m)//Rotor blade angle at entry at mean section in degree b2m=atand(Um/Ca1m)//Rotor blade angle at exit at mean section in degree for axial exit Cx2=0 s=Um/C1m//Blade to gas ratio at mean Rm=(Ca1m/(2*Um))*(tand(b2m)-tand(b1m))//Degree of reaction of mean section rmrt=((rm)/(Df/2))^((sind(a1))^2)//Ratio of inlet velocity at tip and mean for constant nozzle air angle at tip section C1t=C1m*rmrt//Velocity of steam at exit from nozzle at tip section in m/s Cx1t=Cx1m*rmrt//Velocity of whirl at inlet at tip section in m/s Ca1t=Ca1m*rmrt//Axial velocity at tip section in m/s Ut=(3.1415*Df*N)/60//Mean tip speed in m/s b1t=atand((Cx1t-Ut)/Ca1t)//Rotor blade angle at entry at tip section in degree b2t=atand(Ut/Ca1t)//Rotor blade angle at exit at tip section in degree for axial exit Cx2=0 st=Ut/C1t//Blade to gas ratio at tip Rf=(Ca1t/(2*Ut))*(tand(b2t)-tand(b1t))//Degree of reaction of tip section //output printf('(1)Hub section\n (a)\n Absolute air angle is %3.2f degree\n Relative air angle is %3.2f degree\n (b)Blade to gas speed ratio is %3.3f\n (c)Degree of reaction is %3i\n(2)Mean section\n (a)\n Absolute air angle is %3.2f degree\n Relative air angle is %3.2f degree\n (b)Blade to gas speed ratio is %3.3f\n (c)Degree of reaction is %3.3f\n(3)Tip section\n (a)\n Absolute air angle is %3.2f degree\n Relative air angle is %3.2f degree\n (b)Blade to gas speed ratio is %3.3f\n (c)Degree of reaction is %3.3f\n',b1h,b2h,sopt,Rh,b1m,b2m,s,Rm,b1t,b2t,st,Rf)
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8_1.sce
clc; T1=526.2; T2=299.7; nC=(T1-T2)/T1; disp(nC,"carnot cycle efficiency is:") Q=1698; W=nC*Q; h1=2800; s1=6.049; s2=s1; sf2=0.391; sfg2=8.13; x2=(s2-sf2)/sfg2; hf2=112; hfg2=2438; h2=hf2+(x2*hfg2); W12=h1-h2; Wr=W/W12; disp(Wr,"work ratio is:") ssc=1/W; disp("kg/k W h",ssc,"ssc is:"); //part III disp("") h3=112; vf=0.001 p4=42; p3=0.035; PW=vf*(p4-p3)*(10^5/10^3); nR=[{(h1-h2)-(PW)}/{(h1-h3)-(PW)}] disp(nR,"rankine cycle efficiency is:"); Wr=(W12-PW)/(W12) disp(Wr,"Work ratio is"); ssc=1/(W12-PW) disp("kg/k W h",ssc,"Work ratio is:"); //partIII disp(""); W12_=0.8*W12; Ceff=[(h1-h2)-PW]/[(h1-h3)-PW]; disp(Ceff,"rankine cycle of isentropic efficiency is:") Wr=[W12_-PW]/W12_ disp(Wr,"Work ratio is:"); ssc=1/[(h1-h2)-PW] disp("kg/kW s",ssc,"ssc is:")
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Ex5_2.sce
//Continuous Time Fourier Series Coefficients of //a periodic signal x(t) = cos(Wot) clear; close; clc; t = 0:0.01:1; T = 1; Wo = 2*%pi/T; xt = cos(Wo*t); x1t=cos(Wo*-t); for k =0:2 C(k+1,:) = exp(-sqrt(-1)*Wo*t.*k); a(k+1) = xt*C(k+1,:)'/length(t); if(abs(a(k+1))<=0.01) a(k+1)=0; end end a =a'; ak = [-a,a(2:$)] disp("The fourier series coefficients are...") disp(ak) disp("magnitude of Fourier series coefficient") disp(abs(ak)) n=-2:2; subplot(2,1,1) plot(n,abs(ak),'.'); xtitle("Magnitude Spectrum","k","|ak|"); if xt== x1t then disp("The Given signal is even. It has no phase spectrum"); else for i=1:length(ak) if real(ak(i))== 0 then phase(i)=0; else phase(i)=atan(imag(ak(i))/real(ak(i))); end end disp("Phase of Fourier series coefficient in radians") disp(phase) subplot(2,1,2) plot(n,phase,'.'); xtitle("Phase Spectrum","k","ak in radians"); end
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Ex35_2.sce
//To Find Magnetic Field between the wires //Example 35.2 clear; clc; i=10;//Current flowing through wires in Amperes l=5*10^-2;//Seperation between two wires in metres d=l/2;//Distance of Point P from both wires in metres k=2*10^-7;// Constant k=(u0/(2*%pi)) B=k*i/d;//Magnetic Field at point P due to each wire Bnet=2*B;//Net Magnetic Field at Point P due to both wires printf("Magnetic Field at point P between the two wires = %.0f uT",Bnet*10^6);
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clc // initialization of variables clear D=5 //cm Y=3500 //kg/cm^2 //part (a) Ta=350 //kg-m tau=Y/2 Ip=Ta*D*100/(2*tau) d1=Ip*32/%pi d1=(D^4-d1)^(1/4) //part (b) Tb= 700 //kg-m Ip=Tb*D*100/(2*tau) d2=Ip*32/%pi d2=(D^4-d2) T=tau*%pi*(D^4)*2/(32*D) // results printf('The maximum diameter corresponding to the case a is %.2f cm',d1) printf('\n Since the daimeter for the case (b) is coming out to be negative, \n The maximum torque transmitted is %.d kg-m',T/100)
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Psat = 2.339; fi3 = 0.50; P = 101.3; cp = 1.005; Pw3 = fi3*Psat; Pa3 = P-Pw3; W3 = 0.622*(Pw3/Pa3); Psa1_1 = 0.7156; Pw1 = 0.7156; Pa1 = P-Pw1; W1 = 0.622*(Pw1/Pa1); W2 = W1; T3 = 293; Ra = 0.287; Pa3 = 100.13; va3 = (Ra*T3)/Pa3; SW = (W3-W1)/va3; t3 = 20; tsat = 9.65; hg = 2518; h4 = 10; t2 = ( W3*(hg+1.884*(t3-tsat))-W2*(hg-1.884*tsat) + cp*t3 - (W3-W2)*h4 )/ (cp+W2*1.884) disp("kg moisture/m3",SW,"Mass of spray water required is") disp("degree",t2,"Temperature to which air must be heated is")
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1025 ~~~~~~~~~~~~~~~~~~~~~~~~~~ 4
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//Exa 10.8 clc; clear; close; //given data format('v',8); A=0.5;// in m^2 Pi=2.2;// in bar Pi=Pi*10^5;// in N/m^2 Pf=2.18;// in bar Pf=Pf*10^5;// in N/m^2 T=300;// in K S=0.072;// in m^3 V=0.028;// in m^3 L=10;// in mm L=L*10^-3;// in meter R=287; // Diffusivity of air in rubber D // Initial mass of air in the tube mi= Pi*V/(R*T);// in kg //final mass of air in the tube mf= Pf*V/(R*T);// in kg // Mass of air escaped ma = mi-mf;//in kg // Formula Na = ma/A = mass of air escaped / Time elapsed * area A=6*24*3600*0.5; Na = ma/A;//in kg/sm^2 // Solubility of air should be calculated at mean temperature S_meanTemperature=(2.2+2.18)/2;// in bar //Solubility of air at the mean inside Pressure is S=S*S_meanTemperature;// in m^3/m^3 of rubber disp("The air which escapes to atmosphere will be 1 bar and its solubility will remain at 0.72 m^3 of air per m^3 of rubber"); V1=S; V2=0.072; T1=T; T2=T; P1=2.19*10^5;// in N/m^2 P2=1*10^5;// in N/m^2 // The corresponding mass concentration at the inner and outer surface of the tube, from gas equation are calculated as Ca1= P1*V1/(R*T1);// in kg/m^3 Ca2= P2*V2/(R*T2);// in kg/m^3 // The diffusion flux rate of air through the rubber is given by // Na = ma/A = D*(Ca1-Ca2)/del_x, here del_x=L; D=Na*del_x/(Ca1-Ca2); disp(D,"Diffusivity of air in rubber in m^2/s");
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clear, close exec ode1.sci; clc | q1 | q2 | --------------------------------------- /\ E1 E2 /\ <-------L/2-------><------L/2---------> // parametry L = 4000; // długość belki E = 210000 //N/mm^2 - szytwnosc na zginanie E2 = 270000 //N/mm^2 - szytwnosc na zginanie I = 1940e4 //mm^4 EI = E*I E2I = E2*I q2=20; // obciazenie liniowo rozlozne, kN/m q1=10; // warunki początkowe h = 10; // krok x = 0:h:L; // x <0,L> function dydx = pochodna(x, y, q1, q2, EI, E2I, L) RA = q1*(3/8)*L+q2*(L/8) // równanie momentu if x <= L/2 then M = -RA*x + q1*x*x/2 else M = -RA*x + q1*(L/2)*(x-L/4) + q2*(x-L/2)*(x-L/2)*0.5 end dydx(1,1) = y(2); if x <= L/2 then dydx(2,1) = -M/EI; else dydx(2,1) = -M/E2I; end endfunction // pierwszy strzał fi1 = -1e-3; //fi1 = 1; y = rk4([0; fi1], x, pochodna); // do wyboru: euler1, euler2, midpoint, rk2 // błąd e1 = y(1,$) - 0; // drugi strzał fi2 = -1e-2; //fi2 = 2; y = rk4([0; fi2], x, pochodna); // do wyboru: euler1, euler2, midpoint, rk2 // błąd e2 = y(1,$) - 0; // skorygowany kąt obrotu fi = fi2 - e2*(fi1 - fi2)/(e1 - e2) //disp(y(1,$)) //disp(y(2,$)) disp(fi*180/%pi) // rozwiązanie y = rk4([0; fi], x, pochodna); // do wyboru: euler1, euler2, midpoint, rk2 plot(x,y(2,:)*1000,'r-','LineWidth',3); plot(x,y(1,:),'b-','LineWidth',3); //xlabel("x [mm]]"); xlabel('$x \quad [\text{mm}]$','fontsize',4) ylabel('$w(x), \phi(x)$','fontsize',4); title("Porownanie"); legend(['$\phi(x) \quad [\text{rad}]$';'$w(x) \quad [mm]$']);
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// ----------------------------------------------------------------------- /// \brief Calcule un terme de contrainte a partir d'une homographie. /// /// \param H: matrice 3*3 définissant l'homographie. /// \param i: premiere colonne. /// \param j: deuxieme colonne. /// \return vecteur definissant le terme de contrainte. // ----------------------------------------------------------------------- function v = ZhangConstraintTerm(H, i, j) // A modifier! a = H(1,i)*H(1,j); b = H(1,i)*H(2,j)+H(2,i)*H(1,j); c = H(2,i)*H(2,j); d = H(3,i)*H(1,j)+H(1,i)*H(3,j); e = H(3,i)*H(2,j)+H(2,i)*H(3,j); f = H(3,i)*H(3,j); v = [a,b,c,d,e,f]; endfunction // ----------------------------------------------------------------------- /// \brief Calcule deux equations de contrainte a partir d'une homographie /// /// \param H: matrice 3*3 définissant l'homographie. /// \return matrice 2*6 definissant les deux contraintes. // ----------------------------------------------------------------------- function v = ZhangConstraints(H) v = [ZhangConstraintTerm(H, 1, 2); ... ZhangConstraintTerm(H, 1, 1) - ZhangConstraintTerm(H, 2, 2)]; endfunction // ----------------------------------------------------------------------- /// \brief Calcule la matrice des parametres intrinseques. /// /// \param b: vecteur resultant de l'optimisation de Zhang. /// \return matrice 3*3 des parametres intrinseques. // ----------------------------------------------------------------------- function A = IntrinsicMatrix(b) _v0 = (b(2)*b(4)-b(1)*b(5))/(b(1)*b(3)-b(2)*b(2)); _lambda = b(6)-(b(4)*b(4)+_v0*(b(2)*b(4)-b(1)*b(5)))/b(1); _alpha = sqrt(_lambda/b(1)); _beta = sqrt((_lambda*b(1))/(b(1)*b(3)-b(2)*b(2))); _gamma = -(b(2)*_alpha*_alpha*_beta/_lambda); _u0 = _gamma*_v0/_beta - b(4)*_alpha*_alpha/_lambda; A =[_alpha,_gamma,_u0; 0,_beta, _v0; 0,0,1]; endfunction // ----------------------------------------------------------------------- /// \brief Calcule la matrice des parametres extrinseques. /// /// \param iA: inverse de la matrice intrinseque. /// \param H: matrice 3*3 definissant l'homographie. /// \return matrice 3*4 des parametres extrinseques. // ----------------------------------------------------------------------- function E = ExtrinsicMatrix(iA, H) lambda = 1/abs(iA*H(:,1)); lambda = lambda(1); r1 = lambda * iA * H(:,1); r2 = lambda * iA * H(:,2); r3 = CrossProduct(r1,r2); t = lambda * iA * H(:,3); E = [r1,r2,r3,t]; endfunction
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int main(void) { int *p, *q; p * q; }
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//EX3_35 PG-3.72 clc disp("refer to the figure-3.47 shown") Vz=10;//output voltage Vin=20;//input voltage Iz_max=25e-3;//maximum zener current Iz_min=5e-3;//minimum zener current R=300; Rz=0;//zener resistance I=(Vin-Vz)/R; //for Il_min Iz=Iz_max Il_min=I-Iz_max;//minimum load current printf("\n minimum load current is %.2f mA \n",Il_min*1e3) //for Il_max, Iz=Iz_min Il_max=I-Iz_min;//maximum load current printf("\n maximum load current is %.2f mA \n",Il_max*1e3) Rl_min=Vz/Il_max;//minimum load resistance printf("\n minimum load resistance is %.3f ohm \n",Rl_min) // in the book in the question it given that Iz_max=50mA //but during the solution Iz_max is taken as 25mA I have taken Iz_max=25mA // in this program
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//chapter 2 //example 2.1 //page 33 clear all; clc ; //given Rl=100;//load resistor in ohm Es=5;//supply voltage in volts //for point A If1=0;//forward current through diode ,thus drop across resistor is 0 v Ef1=5; //Ef=voltage drop across diode in volts //for point B Ef2=0; If2=Es/Rl; //in Ampere If2=If2*10^3;//in mA plot([Ef1 Ef2],[If1 If2],'-.*') xtitle('dc load line','voltage drop across diode(V)','current through diode(mA)') a=gca(); a.data_bounds=[-0.5 -0.5;5.1 52] printf('dc load line passes through points A(5,0),B(0,50)')
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errcatch(-1,"stop");mode(2);// Exa 7.11 ; ; // Given data V_DS = 0.1;// in V I_D = 10;// in mA I_D= I_D*10^-3;// in A R_DS = V_DS/I_D;// in ohm disp(R_DS,"Part (a) The value of R_DS(on) in ohm is"); V_DS = 0.75;// in V I_D = 100;// in mA I_D= I_D*10^-3;// in A R_DS = V_DS/I_D;// in ohm disp(R_DS,"Part (b) The value of R_DS(on) in ohm is"); exit();
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//clear; /* Dans tout le fichier, les paramètres du modèle d'Ising seront : - N entier le côté du réseau carré de dimension 2 sur lequel on simule le modèle d'Ising - J de taille N x N x 2 matrice des forces d'intéractions - h de taille N x 1 matrice du champ magnétique extérieur */ /****************** Metropolis-Hastings ******************/ function V = V_u(J,h,x,i,j) /* Calcule et renvoie V_u(x) où u = (i,j) et x est un état (de taille N x N) N,J,h les paramètres du modèle d'Ising */ N = size(h,1); /* conditions au bords périodiques */ im = i-1 + N*(i==1); ip = i+1 - N*(i==N); jm = j-1 + N*(j==1); jp = j+1 - N*(j==N); V = h(i,j) + ... J(im,j,1) * double(x(im,j)) + ... J(i,j,1) * double(x(ip,j)) + ... J(i,jm,2) * double(x(i,jm)) + ... J(i,j,2) * double(x(i,jp)); endfunction function X = ising_MH_chain(J,h,n) /* Simule le modèle d'Ising selon un algorithme de Metropolis-Hasting, en partant d'un état initial aléatoire uniforme N,J,h les paramètres du modèle d'Ising n entier le temps de simulation de la chaine p dans [0,1] probabilité de changer chaque coordonnée pour la proposition de M-H Renvoie X de taille N x N x n+1 (X(:,:,k) état de la chaîne de Markov à l'instant k+1) */ N = size(h,1); X = int8(ones(N,N,n+1)); X(:,:,1) = 2*int8((grand(N,N,"def")<0.5))-1; //état initial aléatoire I = ceil(N*grand(2,n,"def")); //indices aléatoires S = 2*int8(grand(1,n,"def")<1/2)-1; //spin aléatoires U = grand(1,n,"def"); //uniformes sur [0,1] for k = 1:n i = I(1,k); //indice à modifier j = I(2,k); //indice à modifier s = S(k); //mouvement proposé : X(i,j) = s X(:,:,k+1) = X(:,:,k); if X(i,j,k)~=s then v = V_u(J,h,X(:,:,k),i,j); if U(k) < exp(double(2*s)*v) then X(i,j,k+1) = s; end end end endfunction function X = ising_MH(J,h,n) /* Comme ising_MH_chain, mais ne renvoie que l'état final */ N = size(h,1); X = 2*int8((grand(N,N,"def")<0.5))-1; //état initial aléatoire I = ceil(N*grand(2,n,"def")); //indices aléatoires S = 2*int8(grand(1,n,"def")<1/2)-1; //spin aléatoires U = grand(1,n,"def"); //uniformes sur [0,1] for k = 1:n i = I(1,k); //indice à modifier j = I(2,k); //indice à modifier s = S(k); //mouvement proposé : X(i,j) = s if X(i,j)~=s then v = V_u(J,h,X,i,j); if U(k) < exp(double(2*s)*v) then X(i,j) = s; end end end endfunction /********************** Échantilloneur de Gibbs **********************/ function Y = ising_gibbs_step(J,h,X,i,j,u) /* Effectue un pas de l'échantilloneur de Gibbs selon la coordonnée (i,j) Renvoie Y le résultat de ce pas N,J,h les paramètres du modèle d'Ising X de taille N x N l'état de départ i,j coordonnées u dans [0,1] tiré uniformément */ N = size(h,1); p = 1/(1+exp(-2*V_u(J,h,X,i,j))); Y = X; Y(i,j) = 2*int8(u<p)-1; endfunction function X = ising_gibbs_seq_chain(J,h,n) /* Simule le modèle d'Ising par l'échantilloneur de Gibbs avec balayage séquentiel, en partant d'un état initial aléatoire uniforme N,J,h les paramètres du modèle d'Ising n entier le temps de simulation de la chaine Renvoie X de taille N x N x n+1 (X(:,:,k) état de la chaîne de Markov à l'instant k+1) */ N = size(h,1); X = int8(ones(N,N,n+1)); X(:,:,1) = 2*int8((grand(N,N,"def")<0.5))-1; //état initial aléatoire for k = 1:n Xtemp = X(:,:,k); U = grand(N,N,"def"); //balayage séquentiel for i = 1:N for j = 1:N Xtemp = ising_gibbs_step(J,h,Xtemp,i,j,U(i,j)); end end X(:,:,k+1) = Xtemp; end endfunction function X = ising_gibbs_seq(J,h,n) /* Comme ising_gibbs_seq_chain, mais ne renvoie que l'état final */ N = size(h,1); X = 2*int8((grand(N,N,"def")<0.5))-1; //état initial aléatoire for k = 1:n U = grand(N,N,"def"); //balayage séquentiel for i = 1:N for j = 1:N X = ising_gibbs_step(J,h,X,i,j,U(i,j)); end end end endfunction function X = ising_gibbs_rand_chain(J,h,n) /* Simule le modèle d'Ising par l'échantilloneur de Gibbs avec balayage séquentiel, en partant d'un état initial aléatoire uniforme N,J,h les paramètres du modèle d'Ising n entier le temps de simulation de la chaine Renvoie X de taille N x N x n+1 (X(:,:,k) état de la chaîne de Markov à l'instant k+1) */ N = size(h,1); X = int8(ones(N,N,n+1)); X(:,:,1) = 2*int8((grand(N,N,"def")<0.5))-1; I = ceil(N*grand(2,n,"def")); //indices aléatoires U = grand(1,n,"def"); //uniformes for k = 1:n //balayage aléatoire X(:,:,k+1) = ising_gibbs_step(J,h,X(:,:,k),I(1,k),I(2,k),U(k)); end endfunction function X = ising_gibbs_rand(J,h,n) /* Comme ising_gibbs_rand_chain, mais ne renvoie que l'état final */ N = size(h,1); X = 2*int8((grand(N,N,"def")<0.5))-1; I = ceil(N*grand(2,n,"def")); //indices aléatoires U = grand(1,n,"def"); //uniformes for k = 1:n //balayage aléatoire X = ising_gibbs_step(J,h,X,I(1,k),I(2,k),U(k)); end endfunction /******************** Couplage par le passé ********************/ function X = ising_coupling_MH(J,h,feedback) /* Simule le modèle d'Ising par couplage par le passé sur Metropolis-Hastings N,J,h les paramètres du modèle d'Ising Renvoie X de taille N x N feedback : booléen pour afficher ou non l'animation du couplage */ N = size(h,1); if feedback then fig = scf(); end X = int8(ones(N,N)); Y = -int8(ones(N,N)); I = []; S = []; U = []; n_old = 0; n = N^2; //nombre d'update à faire while max(abs(X-Y))>0 do printf("\tEssai de coalition, n = "+string(n)+"\n"); //tirer les aléas manquant pour avoir n updates //les aléas sont rangés dans le sens inverse du temps : u_n, ..., u_2, u_1 I = [ceil(N*grand(2,n-n_old,"def")), I]; //indices aléatoires S = [2*int8(grand(1,n-n_old,"def")<1/2)-1, S]; //spins aléatoires U = [grand(1,n-n_old,"def"), U]; //unif([0,1]) X = int8(ones(N,N)); Y = -int8(ones(N,N)); for k=1:n i=I(1,k); j=I(2,k); s=S(k); u=U(k); if X(i,j)~=s then v = V_u(J,h,X,i,j); if u < exp(double(2*s)*v) then X(i,j) = s; end end if Y(i,j)~=s then v = V_u(J,h,Y,i,j); if u < exp(double(2*s)*v) then Y(i,j) = s; end end if feedback then //Permet d'afficher l'avancement du couplage drawlater; clf(fig); subplot(2,2,1); title("Nombre k d''update : "+string(k)+"/"+string(n)); subplot(2,2,2); Matplot((X+Y)/2+1); title("Nombre de spins différents : "+string(sum(double(abs(X-Y))/2))); subplot(2,2,3); Matplot(X+1); title("$\huge f_{\theta_{"+string(n-k+1)+"}} \circ \hdots \circ f_{\theta_{"+string(n)+"}} (1,\hdots,1)$"); subplot(2,2,4); Matplot(Y+1); title("$\huge f_{\theta_{"+string(n-k+1)+"}} \circ \hdots \circ f_{\theta_{"+string(n)+"}} (-1,\hdots,-1)$"); drawnow; end end n_old = n; n = 2*n; //augmenter le nombre d'update nécessaires printf("\t\t"+string(sum(double(abs(X-Y))/2))+" spins différents\n"); end if feedback then close(fig); printf("\tTemps de coalition pour CFTP via MH : "+string(n/2)+"\n"); end endfunction function X = ising_coupling_gibbs(J,h,feedback) /* Simule le modèle d'Ising par couplage par le passé sur l'échantillonneur de Gibbs N,J,h les paramètres du modèle d'Ising J supposé constant, h supposé nul Renvoie X de taille N x N feedback : booléen pour afficher ou non l'animation du couplage */ N = size(h,1); if feedback then fig = scf(); end X = int8(ones(N,N)); Y = -int8(ones(N,N)); U = []; n_old = 0; n = 1; //nombre d'update à faire while max(abs(X-Y))>0 do printf("\tNouvel essai de coalition, n = "+string(n)+"\n"); //tirer les aléas manquant pour avoir n updates //les aléas sont rangés dans le sens inverse du temps : u_n, ..., u_2, u_1 temp = zeros(N,N,n); //resize_matrix(U,[N,N,n]); temp(:,:,1:n-n_old) = grand(N,N,n-n_old,"def"); //tirages manquant temp(:,:,(n-n_old+1):n) = U; //anciens tirages U = temp; X = int8(ones(N,N)); Y = -int8(ones(N,N)); for k=1:n //balayage séquentiel for i = 1:N for j = 1:N X = ising_gibbs_step(J,h,X,i,j,U(i,j,k)); Y = ising_gibbs_step(J,h,Y,i,j,U(i,j,k)); end end if feedback then //Permet d'afficher l'avancement du couplage drawlater; clf(fig); subplot(2,2,1); title("Nombre k d''update : "+string(k)+"/"+string(n)); subplot(2,2,2); Matplot((X+Y)/2+1); title("Nombre de spins différents : "+string(sum(double(abs(X-Y))/2))); subplot(2,2,3); Matplot(X+1); title("$\huge f_{\theta_{"+string(n-k+1)+"}} \circ \hdots \circ f_{\theta_{"+string(n)+"}} (1,\hdots,1)$"); subplot(2,2,4); Matplot(Y+1); title("$\huge f_{\theta_{"+string(n-k+1)+"}} \circ \hdots \circ f_{\theta_{"+string(n)+"}} (-1,\hdots,-1)$"); drawnow; end end n_old = n; n = 2*n; //augmenter le nombre d'update nécessaires printf("\t"+string(sum(double(abs(X-Y))/2))+" spins différents\n"); end if feedback then close(fig); printf("\t\tTemps de coalition pour CFTP via Gibbs : "+string(n/2)+"\n"); end endfunction /********************** Simulation exacte naïve **********************/ function X = num2etat(N,m) /* Calcule le m-ième état dans l'énumération lexicographique des états N entier la taille du côté du réseau m entier entre 1 et 2^(N^2) le numéro de l'état Renvoie X le m-ième état */ //a = matrix(1:N^2,N,N) est une matrice de taille N x N les entiers de 1 à N^2 //b = bitget(m,a) est une matrice de taille NxN listant les bit de m //c = 2*b-1 transforme ces {0,1} et {-1,1} X = 2*int8(bitget(m,matrix(1:N^2,N,N)))-1; endfunction function m = etat2num(X) /* Calcule le numéro de l'état dans l'énumération lexicographique des états N entier la taille du côté du réseau X de taille N x N à valeur {1,-1} Renvoie m le numéro de l'état */ //a = matrix(X,1,-1) est le vecteur ligne composé des éléments de X //b = (a+1)/2 transforme les {-1,1} et {0,1} donc b(k) est le k-ième bit de m m = sum(2.^(0:N^2-1) .* (matrix(X,1,-1)+1)/2); endfunction function y = pi(J,h,x) /* Calcule la loi non normalisée N,J,h les paramètres du modèle d'Ising x de taille N x N Renvoie y = Z_T * pi(x) */ N = size(h,1); //intercation entre les voisins de même ordonnée s1 = sum(J(:,:,1).*double(x.*x([2:N 1],:))); //conditions au bords périodiques //intercation entre les voisins de même abscisse s2 = sum(J(:,:,2).*double(x.*x(:,[2:N 1]))); //conditions au bords périodiques //champ magnétique extérieur s3 = sum(h.*x); y = exp(double(s1+s2+s3)); endfunction function p = ising_law(J,h) /* Renvoie la loi de probabilité du modèle d'Ising p(m)/sum(p) est la probabilité du m-ième état N,J,h les paramètres du modèle d'Ising */ N = size(h,1); d = 2^(N^2); //nombre d'états p = zeros(1,d); for m = 1:d x = num2etat(N,m); p(m) = pi(J,h,x); //probabilité non normalisée end endfunction function X = ising_exact(J,h,n) /* Simule un n-échantillon du modèle d'Ising de manière naïve (probabilités discrètes), à ne lancer qu'avec N petit N,J,h les paramètres du modèle d'Ising n le nombre de tirage Renvoie X de taille N x N x n */ N = size(h,1); d=2^(N^2) p = ising_law(J,h); c = cumsum(p); for k = 1:n //m suit la loi p/sum(p) [t,m] = max((grand(1,1,"def")*c(d)<c)); X(:,:,k) = num2etat(N,m); end endfunction function y = log_pi_std(x) /* Renvoie log(pi(J,h,x)) avec J = ones(N,N,2) et h = zeros(N,N) */ N = size(x,1); y = sum(double(x.*x([2:N 1],:)+x.*x(:,[2:N 1]))); endfunction function U = ising_energy_std(N) /* Renvoie l'énergie du modèle d'Ising Si p est le résultat de ising_law(J,h) avec J = ones(N,N,2) et h = zeros(N,N), alors U = -log(p) */ N = size(h,1); d = 2^(N^2); //nombre d'états U = zeros(1,d); for m = 1:d x = num2etat(N,m); U(m) = -log_pi_std(x); end endfunction
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clc clear d=(0.82*10^-3)//Diameter of the wire in m dl=(1*10^-3)//Length of elongation produced in m F=(0.33*9.8)//Force in N q=1//Angular twist in radians T=(10*10^-5)//Torque in N n=(2.2529*10^9)//Rigidity modulus in N/m^2 //Calculations Y=(F/(3.14*(d/2)^2*dl))//youngs modulus *L in N/m^2 s=(Y/(2*n))-1//Poissons ratio //Output printf('Poissons ratio is %3.4f',s)
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//<f>=%rxp(f1,f2) // %rxp(r,p) calcule le produit element par element de la matrice de //fractions rationnelles r par la matrice de polynomes p. //Cette macro correspond a l'operation r.*p //! num=f1(2).*f2 f=tlist('r',num,f1(3),f1(4)) //end
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//Parthasarathi Panda //parthasarathipanda@gmail.com //t is the array over which thee chirp is computed //f0 is the frequency at t=0 //f1 is the frequency at t=t1 //phi is the phase at t=0 (0 optional) //method indicates the way in which frequency varies (quadratic,linear or logarithmic) and is linear when unspecified //tested for t=[1:5], f0=0 and 1 t1=100, f1=5, all possible methods, phi=0,pi/3 function [y]=chirp(t,f0,t1,f1,method,phi) [lhs,rhs]=argn(); if (rhs<6) then phi=0; if (rhs<5) then method="linear"; end end if ((method=="li") | (method=="linear")) then b=(f1-f0)/t1; y=cos(phi+2*%pi*(f0*t+0.5*b*t.*t)); elseif ((method=="q") | (method=="quadratic")) then b=(f1-f0)/(t1*t1); y=cos(phi+2*%pi*(f0*t+b*t.*t.*t/3)); elseif ((method=="lo") | (method=="logarithmic")) then if f0==0 then error("f0 must be non zero"); else b=(f1/f0)^(1/t1); y=cos(phi+2*%pi*(f0*(b.^t)/log(b))); end else error("unidentified method"); end, endfunction
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// Display mode mode(0); // Display warning for floating point exception ieee(1); clc; disp("Principles of Heat Transfer, 7th Ed. Frank Kreith et. al Chapter - 6 Example # 6.7 ") //Temperature of airstream in degree C Tair = 20; //Velocity of air in m/s U = 1.8; //Side of circuit in m L = 27/1000; //Spacing in the circuit in m H = 17/1000; //At 20°C, the properties of air from Table 28, Appendix 2, are //Density in kg/m3 rho = 7700; //Specific heat in J/kgK c = 130; //Thermal conductivity in W/mK k = 0.0251; //Kinematic viscosity in m2/s nu = 0.0000157; //Prandtl number Pr = 0.011; //Reynolds number Re = (U*H)/nu; //From Fig. (6.27), we see that the second integrated circuit is in the inlet region and estimate Nu2 =29. //Nusselt number in second circuit Nu2 = 29; disp("Heat transfer coefficient along 2nd circuit in W/m2K") //Heat transfer coefficient in W/m2K hc2 = (Nu2*k)/L //The sixth integrated circuit is in the developed region and from Eq. (6.79) //Nusselt number in sixth circuit Nu6 = 21.7; disp("Heat transfer coefficient along 6th circuit in W/m2K") ////Heat transfer coefficient in W/m2K hc6 = (Nu6*k)/L
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function Out=Setscaling(varargin) global LOGX LOGY SCALEX SCALEY; Nargs= length(varargin) if Nargs==0 Out=[SCALEY,LOGX,LOGY]; return; end; for I=1:Nargs Tmp=varargin(I); if type(Tmp)==1 SCALEY=Tmp; end; if type(Tmp)==10 if Tmp=="l" LOGX=0; LOGY=1; elseif Tmp=="ll" LOGX=1 LOGY=1 else LOGX=0 LOGY=0 end; end; end; Out=[SCALEY,LOGX,LOGY]; endfunction;
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clc //Métodos numéricos A = [3 2 1; 5 3 2; 1 8 3] D = diag(diag(A)) L = -tril(A, -1) U = -triu(A, 1) disp(D) disp(L) disp(U) op = verificadiagdom(A) if op == 1 then printf("El metodo iterativo es convergente") else printf("No se puede afirmar nada") end Tj = inv(D)*(L+U) disp(Tj) Tgs = inv(D-L)*U disp(Tgs) //radio espectral rhoj = max(abs(spec(Tj))) disp(rhoj) rhogs = max(abs(spec(Tgs))) disp(rhogs)
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invfreqs.sci
function [B,A,C] = invfreqs(H,F,nB,nA,W,iter,tol,trace) //Fit filter B(s)/A(s)to the complex frequency response H at frequency points F. A and B are real polynomial coefficients of order nA and nB. //Calling Sequence //[B,A,C] = invfreqs(H,F,nB,nA,W,iter,tol,trace) //[B,A,C] = invfreqs(H,F,nB,nA,W) //[B,A,C] = invfreqs(H,F,nB,nA) //Parameters //H: desired complex frequency response. //F: frequency (must be same length as H). //nB: order of the numerator polynomial B. //nA: order of the denominator polynomial A. //W: vector of weights (must be same length as F). //Description //This is an Octave function. //Fit filter B(s)/A(s)to the complex frequency response H at frequency points F. A and B are real polynomial coefficients of order nA and nB. //Optionally, the fit-errors can be weighted vs frequency according to the weights W. //Note: all the guts are in invfreq.m //Examples //B = [1/2 1]; //A = [1 1]; //w = linspace(0,4,128); //H = freqs(B,A,w); //[Bh,Ah, C] = invfreqs(H,w,1,1); //Bh = // // 0.50000 1.00000 // //Ah = // // 1.0000 1.0000 // //C = -3.0964e-15 funcprot(0); lhs = argn(1) rhs = argn(2) if (rhs < 4 | rhs > 8) error("Wrong number of input arguments.") end select(rhs) case 4 then if(lhs==1) B = callOctave("invfreqs",H,F,nB,nA) elseif(lhs==2) [B, A] = callOctave("invfreqs",H,F,nB,nA) elseif(lhs==3) [B, A, C] = callOctave("invfreqs",H,F,nB,nA) else error("Wrong number of output argments.") end case 5 then if(lhs==1) B = callOctave("invfreqs",H,F,nB,nA,W) elseif(lhs==2) [B, A] = callOctave("invfreqs",H,F,nB,nA,W) elseif(lhs==3) [B, A, C] = callOctave("invfreqs",H,F,nB,nA,W) else error("Wrong number of output argments.") end case 6 then if(lhs==1) B = callOctave("invfreqs",H,F,nB,nA,W,iter) elseif(lhs==2) [B, A] = callOctave("invfreqs",H,F,nB,nA,W,iter) elseif(lhs==3) [B, A, C] = callOctave("invfreqs",H,F,nB,nA,W,iter) else error("Wrong number of output argments.") end case 7 then if(lhs==1) B = callOctave("invfreqs",H,F,nB,nA,W,iter,tol) elseif(lhs==2) [B, A] = callOctave("invfreqs",H,F,nB,nA,W,iter,tol) elseif(lhs==3) [B, A, C] = callOctave("invfreqs",H,F,nB,nA,W,iter,tol) else error("Wrong number of output argments.") end case 8 then if(lhs==1) B = callOctave("invfreqs",H,F,nB,nA,W,iter,tol,trace) elseif(lhs==2) [B, A] = callOctave("invfreqs",H,F,nB,nA,W,iter,tol,trace) elseif(lhs==3) [B, A, C] = callOctave("invfreqs",H,F,nB,nA,W,iter,tol,trace) else error("Wrong number of output argments.") end end endfunction
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Example_5_3.sce
clc clear x=[1.6 1.8 2 2.2 2.4 2.6 2.8 3 3.2 3.4 3.6 3.8]; F=[4.953 6.05 7.389 9.025 11.023 13.464 16.445 20.086 24.533 29.964 36.594 44.701] for i=1:12 X=[x(1,i), F(1,i)] end A1=(0.2/2)*[(6.05+29.964)+2*(7.389+9.025+11.023+13.464+16.445+20.086+24.533)] printf('Answer by Trapezoidal Rule to estimate the integral from x=1.8 to x=3.4 taking h=0.2') disp(A1) A2=(0.4/2)*[(6.05+29.964)+2*(9.025+13.464+20.086)] printf('Answer by Trapezoidal Rule to estimate the integral from x=1.8 to x=3.4 taking h =0.4') disp(A2) A3=(0.8/2)*[(6.05+29.964)+2*(13.464)] printf('Answer by Trapezoidal Rule to estimate the integral from x=1.8 to x=3.4 taking h=0.8') disp(A3) A4=A1+(A1-A2)/3 A5=A2+(A2-A3)/3 A6=A4+(A4-A5)/3 T1=[0.2 A1 A4 A6] T2=[0.4 A2 A5] T3=[0.8 A3] disp(T1) disp(T2) disp(T3)
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rootmusic2.sce
//i/p arg R is a row vector R=[6.1117 + 0.0000*%i 3.8205 - 3.9887*%i -0.2138 - 5.5126*%i]; [W,P] = rootmusic(R,1); disp(W); disp(P); //output // 0.8048906 // // 32.182981 //matlab o/p // -0.8049 // // 32.1830
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Ex5_39.sce
clear //Given R2=50.0 //ohm R3=50.0 //ohm R4=75.0 //ohm E=4.75 R1=100 //Calculation Rbc=1/((1/R2)+(1/R3)+(1/R4)) R=R1+Rbc I=E/R R11=I*R1 Vbc=E-(I*R1) I2=Vbc/R2 I3=Vbc/R3 I4=Vbc/R4 //Result printf("\n Equivalent resistance of the circuit is %0.3f ohm", R) printf("\n Current in R2 is %0.3f A",I2) printf("\n Current in R3 is %0.3f A",I3) printf("\n Current in R4 is %0.3f A",I4)
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4_13.sce
clear; clc; close; disp("Example4.13") M0=0.88 //Mach no. p0=15 // pressure in kPa T0=233 //temperatue in K gmc=1.4 //gamma compressor Cpc=1004 //specific heat of compressor in J/kg.K pd=0.995 // pressure compression ratio of diffuser pf=1.6 //pressure compression ratio of fan ef=0.9 //fan efficiency alfa=8 pfn=0.95 //compression ratio of convergent fan nozzle pc=40 //compression ratio of compressor ec=0.9 //compressor efficiency tl=8 //temp. ratio Cpt=1152 //in J/kg.K of turbine gmt=1.33 //gamma turbine Qr=42000000 //in J/kg pb=0.95 //burner compression ratio eb=0.992 //burner efficiency em=0.95 et=0.85 pn=0.98 //primary nozzle a0=((gmc-1)*Cpc*T0)^(1/2); V0=M0*a0; pt0=p0*(1+((gmc-1)*(M0)^2)/2)^(gmc/(gmc-1)) Tt0=T0*(1+((gmc-1)*(M0)^2)/2) Tt2=Tt0 pt2=pt0*pd //fan stream: pt13=pt2*pf tf=pf^((gmc-1)/(ef*gmc)) Tt13=Tt2*tf pt19=pt13*pfn p19=pt19/(1+(gmc-1)/2)^(gmc/(gmc-1)) M19=1 T19=Tt13/1.2 a19=((gmc-1)*Cpc*T19)^(1/2) V19=a19 //V19eff=V19+((gmc*p19)/r19)*((1-p0/p19)/(gmc*V19)) i.e V19+a19^2 V19eff=V19+(a19^2)*((1-p0/p19)/(gmc*V19)) //Core stream pt3=pt2*pc tc=pc^((gmc-1)/(ec*gmc)) //disp(tc) Tt3=Tt2*tc pt4=pt3*pb Tt4=Cpc*T0*tl/Cpt //disp(Tt4) f=(Cpt*Tt4-Cpc*Tt3)/(Qr*eb-Cpt*Tt4) //disp(f) Tt5=Tt4-((Cpc*(Tt3-Tt2)+alfa*Cpc*(Tt13-Tt2)))/((1+f)*Cpt*em) //disp(Tt5) tt=Tt5/Tt4 pt=tt^(gmt/(et*(gmt-1))) pt5=pt4*pt pt9=pt5*pn p9=pt9/((gmt+1)/2)^(gmt/(gmt-1)) M9=1 T9=Tt5/((gmt+1)/2) a9=((gmt-1)*Cpt*T9)^(1/2) V9=a9 V9eff=V9+(((a9)^2)*(1-(p0/p9)))/(gmt*V9) ndsft=alfa*(V19eff-V0)/((1+alfa)*a0) ndsct=((1+f)*V9eff-V0)/((1+alfa)*a0) ndst=ndsft+ndsct rfct=ndsft/ndsct fc=ndsft*100/(ndsft+ndsct) cc=ndsct*100/(ndsft+ndsct) TSFC=f/((1+alfa)*a0*(ndsft+ndsct))*10^6 eth=(alfa*V19eff^2+(1+f)*V9eff^2-(1+alfa)*V0^2)/(2*f*Qr) ep=(2*(ndsft+ndsct)*(1+alfa)*a0*V0)/(alfa*V19eff^2+(1+f)*V9eff^2-(1+alfa)*V0^2) eo=eth*ep //Pressures disp("a(1)Total pressures throughout the engine in kPa:") disp(pt0,"Total pressure of flight:") disp(pt2,"Total pressure at engine face:") disp(pt13,"Total pressure at fan exit:") disp(p19,"Static pressure at nozzle exit:") disp(pt3,"Total pressure at compressor exit:") disp(pt4,"Total pressure at burner exit:") disp(pt5,"Total pressure at turbine exit:") disp(pt9,"Total pressure at nozzle exit:") //Temperatures disp("a(2)Total temperatures across the engine in K:") disp(Tt0,"Total temperature of flight:") disp(Tt2,"Total temperature at engine face:") //Tt0=Tt2, since adiabatic! disp(Tt13,"Total temperature at fan exit:") disp(T19,"Static temperature at fan nozzle exit:") disp(Tt3,"Total temperature at compressor exit:") disp(Tt4,"Total temperature at burner exit:") disp(Tt5,"Total temperature at turbine exit:") disp(T9,"Static temperature at nozzle exit:") disp(pt19,"(b{1})Total pressure at fan nozzle exit:") disp(p9,"(b{2})Static pressure at nozzle exit:") //Remaining results disp(V19,"(c{1}Actual fan nozzle exit velocity in m/s:)") disp(V19eff,"(c{2}Effective fan nozzle exit velocity in m/s:)") disp(V9,"(c{3})Actual core nozzle exit velocity in m/s:") disp(V9eff,"(c{4})Effective nozzle exit velocity in m/s:") disp(rfct,"(d)Ratio of fan-tocore thrust:") disp(ndst,"(e)Nondimensional specific thrust:") disp(TSFC,"(f)TSFC in mg/s/N:") disp("(g)Engine efficiencies:") disp(eth,"Thermal efficiency:") disp(ep,"Propulsion effciency:") disp(eo,"Overall efficiency:")
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Ex5_09.sce
// Scilab Code Ex5.9 : Page-188 (2013) clc; clear; a_0 = 5.29e-11; // Radius of H-atom, m l = 2*a_0; // Length, m h = 6.63e-34; // Planck's constant, Js m = 9.1e-31; // Mass of electron, kg K_min = h^2/(8*(%pi)^2*m*l^2); // Minimum kinetic energy possesed, J printf("\nThe minimum kinetic energy of the electron = %3.1f eV", K_min/1.6e-19); // Result // The minimum kinetic energy of the electron = 3.4 eV
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ex_3_4_5.sce
// Example 3.4.5: delay angle,rms , averae output current ,average and rms thyristor current clc; clear; close; format('v',5) Vrms=120;//RMS VOLTAGE R=10;//in ohms Vldc= (0.25*(2*sqrt(2)*Vrms))/%pi;//in volts csd= (Vldc*%pi)/(sqrt(2)*Vrms);// alpha= acosd(csd-1);// disp("part (a)") disp(alpha,"delay angle in degree is") Vrms=120;//RMS VOLTAGE Vm=sqrt(2)*Vrms;//assume t=2*%pi/3:%pi; Vlms=((Vm/(sqrt(2)))*(((1/%pi)*((%pi-(2*%pi)/3)+sind((4*%pi)/6))))^(1/2)); Vldc= (0.25*(2*sqrt(2)*Vrms))/%pi;//in volts Ildc=Vldc/R;//average load current in ampere Ilms=Vlms/R;// rms load current in ampere disp("part (b)") disp(Ilms,"rms load current in amperes") disp(Ildc,"average load current in amperes") //rms load current is calculated wrong in the textbook Im=Vm/R;// Ith=((Im/(2*%pi))*intsplin(t,sin(t)));//in amperes Ithrms=sqrt((Im^2/(2*%pi))*intsplin(t,(sin(t))^2));//in amperes disp("part (c)") disp(Ith,"average thyristor current in amperes is") disp(Ithrms,"rms thyristor current in amperes is") //average and rms thyrister current is calculated wrong in the textbook
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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 0.274847D+00 2 -0.200696D-02 0.229998D-02 3 -0.661088D-01 0.223397D-02 0.405479D+00 4 0.236224D-02 -0.467071D-03 -0.716005D-02 0.341254D-02 5 -0.498613D-03 0.211452D-03 0.130231D-02 -0.722318D-04 0.340879D-02 6 0.951024D-03 0.845993D-05 -0.540378D-03 0.415218D-04 -0.284753D-03 7 0.168317D-02 0.198195D-03 -0.709930D-03 -0.168050D-03 -0.945350D-03 8 0.385532D-03 0.167409D-05 0.808785D-03 0.152760D-03 0.253420D-03 9 -0.361076D+00 0.117796D-01 0.446741D+00 -0.487997D-02 0.282001D-01 10 -0.239103D+00 0.172267D-01 0.387303D+00 -0.111320D-01 0.165962D+00 11 0.123183D+00 -0.217494D-01 -0.177602D+00 0.295333D-01 -0.555077D-01 12 -0.528263D+00 0.226409D-01 0.841815D-01 -0.694348D-01 0.359303D-01 13 0.112867D+00 0.984636D-02 -0.142872D+00 -0.721327D-02 -0.471091D-01 14 0.423396D-01 0.418719D-02 0.310950D+00 0.219242D-01 0.332238D-01 15 -0.944535D+00 -0.230085D-01 -0.320803D+00 -0.236314D-01 -0.331753D-01 16 0.411394D-01 -0.136306D-01 -0.380450D-01 0.251586D-02 0.343104D-03 17 -0.943303D-02 0.278258D-03 0.420618D-02 0.133698D-05 -0.881628D-03 18 -0.294728D+00 -0.380218D-01 0.466011D+00 -0.273476D-01 0.475689D-01 19 -0.741746D-01 0.120136D-01 0.101114D+00 -0.343914D-02 0.893026D-03 20 -0.584105D-01 -0.127319D-01 -0.687293D+00 -0.595969D-01 0.543191D-01 21 -0.203451D-02 -0.507563D-02 -0.936283D-01 -0.210256D-02 0.236537D-02 22 0.524513D-02 -0.336003D-04 -0.402291D-02 -0.992086D-04 0.401343D-04 23 -0.786613D-02 -0.616178D-03 0.623896D-02 0.646423D-03 0.110381D-02 24 0.221171D-03 -0.973126D-04 0.421058D-02 0.964454D-03 -0.478333D-03 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 0.595663D-03 7 0.798971D-03 0.453637D-02 8 0.547003D-04 0.112896D-03 0.280862D-02 9 -0.136268D-01 -0.278740D-01 0.215777D-01 0.332857D+02 10 -0.163820D-01 -0.323834D-01 0.784683D-02 0.118006D+01 0.193761D+02 11 0.246273D-01 0.272591D-01 -0.138990D-01 -0.679673D+01 -0.879117D+00 12 -0.659712D-01 -0.804237D-01 0.828277D-01 0.379432D+01 0.901623D+00 13 0.475936D-01 0.137349D+00 -0.173683D-01 -0.241536D+01 -0.504073D+01 14 -0.175460D-01 -0.750694D-01 0.247301D+00 0.359621D+01 0.369860D+01 15 -0.104492D-01 -0.599678D-02 -0.235008D-01 -0.596096D-02 -0.763411D+01 16 -0.954838D-03 -0.247119D-02 -0.105904D-04 0.351578D+00 -0.790979D-01 17 0.277849D-03 0.474073D-03 -0.169232D-03 -0.841831D-01 -0.252152D-01 18 -0.425339D-01 -0.189958D+00 0.310612D-02 -0.410963D+00 0.515224D+01 19 -0.120416D-01 -0.154990D-02 0.247676D-02 -0.116825D+01 0.506353D+00 20 0.746119D-02 0.887208D-01 -0.241628D+00 -0.205008D+01 0.703389D+01 21 0.108631D-01 -0.140908D-02 -0.393648D-02 0.118448D+01 -0.195588D+00 22 -0.724867D-04 0.365877D-03 0.284561D-03 0.531211D-02 -0.271458D-01 23 -0.154372D-04 0.387058D-03 -0.169713D-02 -0.257179D+00 0.116239D+00 24 0.148469D-03 -0.981664D-04 -0.112134D-03 0.385593D-01 -0.325545D-01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 0.318117D+02 12 -0.183777D+02 0.198339D+03 13 -0.396022D+00 -0.195678D+01 0.139605D+02 14 0.401034D+00 0.139228D+02 -0.474893D+01 0.852435D+02 15 0.223754D+01 0.313639D+01 0.377030D-02 -0.271518D+01 0.170651D+03 16 0.111903D+00 -0.549040D-01 -0.116437D+00 0.914694D-01 0.195897D+01 17 0.435494D-02 0.980572D-02 0.246953D-01 -0.237361D-01 -0.751553D+00 18 -0.898661D-01 0.127393D+02 -0.854511D+01 0.275335D+01 -0.230992D+02 19 0.163151D+01 -0.183090D+01 -0.136121D+01 -0.455173D+00 0.242128D+01 20 -0.259148D+00 -0.248597D+02 0.426284D+01 -0.568647D+02 0.110031D+02 21 -0.168435D+01 0.211279D+01 0.105847D+01 0.214027D+00 -0.319220D+01 22 -0.388276D-01 0.220478D-01 0.162328D-01 0.486187D-01 0.966169D-01 23 -0.153861D+00 0.102375D+01 0.739245D-01 -0.107861D+00 0.588452D+00 24 0.442883D-01 -0.272196D+00 -0.240932D-01 0.408493D-01 -0.118619D+00 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 16 17 18 19 20 ________ ________ ________ ________ ________ 16 0.379364D+00 17 -0.303826D-01 0.912913D-02 18 -0.949118D-01 0.376982D-01 0.176451D+03 19 -0.175904D+00 -0.436839D-02 0.424789D+01 0.513354D+01 20 0.531920D+00 -0.622279D-01 -0.201964D+02 0.201680D+01 0.401007D+03 21 -0.244757D-01 0.238564D-01 0.419437D+00 -0.440495D+01 -0.187488D+01 22 0.104173D-01 -0.127309D-02 -0.864367D+00 -0.347051D-01 -0.931900D-01 23 0.317203D-01 -0.417708D-02 -0.284340D+00 -0.102071D+00 0.273454D+01 24 -0.527516D-02 0.101909D-02 -0.193074D-02 0.598690D-02 -0.161460D+01 ESTIMATED COVARIANCE MATRIX FOR PARAMETER ESTIMATES 21 22 23 24 ________ ________ ________ ________ 21 0.493125D+01 22 -0.245553D-01 0.931308D-02 23 -0.172951D+00 0.127698D-01 0.650688D+00 24 0.181568D-01 -0.768061D-03 -0.623748D-01 0.173913D-01 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 1 2 3 4 5 ________ ________ ________ ________ ________ 1 1.000 2 -0.080 1.000 3 -0.198 0.073 1.000 4 0.077 -0.167 -0.192 1.000 5 -0.016 0.076 0.035 -0.021 1.000 6 0.074 0.007 -0.035 0.029 -0.200 7 0.048 0.061 -0.017 -0.043 -0.240 8 0.014 0.001 0.024 0.049 0.082 9 -0.119 0.043 0.122 -0.014 0.084 10 -0.104 0.082 0.138 -0.043 0.646 11 0.042 -0.080 -0.049 0.090 -0.169 12 -0.072 0.034 0.009 -0.084 0.044 13 0.058 0.055 -0.060 -0.033 -0.216 14 0.009 0.009 0.053 0.041 0.062 15 -0.138 -0.037 -0.039 -0.031 -0.043 16 0.127 -0.461 -0.097 0.070 0.010 17 -0.188 0.061 0.069 0.000 -0.158 18 -0.042 -0.060 0.055 -0.035 0.061 19 -0.062 0.111 0.070 -0.026 0.007 20 -0.006 -0.013 -0.054 -0.051 0.046 21 -0.002 -0.048 -0.066 -0.016 0.018 22 0.104 -0.007 -0.065 -0.018 0.007 23 -0.019 -0.016 0.012 0.014 0.023 24 0.003 -0.015 0.050 0.125 -0.062 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 6 7 8 9 10 ________ ________ ________ ________ ________ 6 1.000 7 0.486 1.000 8 0.042 0.032 1.000 9 -0.097 -0.072 0.071 1.000 10 -0.152 -0.109 0.034 0.046 1.000 11 0.179 0.072 -0.046 -0.209 -0.035 12 -0.192 -0.085 0.111 0.047 0.015 13 0.522 0.546 -0.088 -0.112 -0.306 14 -0.078 -0.121 0.505 0.068 0.091 15 -0.033 -0.007 -0.034 0.000 -0.133 16 -0.064 -0.060 0.000 0.099 -0.029 17 0.119 0.074 -0.033 -0.153 -0.060 18 -0.131 -0.212 0.004 -0.005 0.088 19 -0.218 -0.010 0.021 -0.089 0.051 20 0.015 0.066 -0.228 -0.018 0.080 21 0.200 -0.009 -0.033 0.092 -0.020 22 -0.031 0.056 0.056 0.010 -0.064 23 -0.001 0.007 -0.040 -0.055 0.033 24 0.046 -0.011 -0.016 0.051 -0.056 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 11 12 13 14 15 ________ ________ ________ ________ ________ 11 1.000 12 -0.231 1.000 13 -0.019 -0.037 1.000 14 0.008 0.107 -0.138 1.000 15 0.030 0.017 0.000 -0.023 1.000 16 0.032 -0.006 -0.051 0.016 0.243 17 0.008 0.007 0.069 -0.027 -0.602 18 -0.001 0.068 -0.172 0.022 -0.133 19 0.128 -0.057 -0.161 -0.022 0.082 20 -0.002 -0.088 0.057 -0.308 0.042 21 -0.134 0.068 0.128 0.010 -0.110 22 -0.071 0.016 0.045 0.055 0.077 23 -0.034 0.090 0.025 -0.014 0.056 24 0.060 -0.147 -0.049 0.034 -0.069 ESTIMATED CORRELATION MATRIX FOR PARAMETER ESTIMATES 16 17 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//Scilab Code for Example 7.33 of Signals and systems by //P.Ramakrishna Rao //Plotting the magnitude and phase responses clc; clear; T=1; n=1; for w=0:0.1:20; hmag(n)=2*sin(w*T/2); n=n+1; end n=1; for w=0:0.1:20; hphase(n)=%pi/2-(w*T/2); n=n+1; end //Magnitude plot w=0:0.1:20; plot(w,hmag); title('Magnitude Plot'); xlabel('w'); ylabel('|H(e^jw)|'); figure(1); //Phase Plot w=0:0.1:20; plot(w,hphase); title('Phase Plot'); xlabel('w'); ylabel('theta(wT)');
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// Scilab Code Ex2.5: Page:80 (2011) clc;clear; a = 0.003;....// Accuracy of the electron,in percent s = 5e+03;....// Speed of the electron,in m/s del_v = (a/100)*s;....// Change in velocity,in m/s m0 = 9.1e-31;....// Rest mass of the electron,in kg hcut = 1.054e-34;....// Plancks constant,J-s del_x = hcut/(2*del_v*m0); printf("\nThe uncertainity in the position of the electron = %4.2e m", del_x); // Result // The uncertainity in the position of the electron = 3.86e-004 m
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sample_rate = 6500; fileName = "C:\\codeCave\\03-TCC\\Scripts\\Interface\\Python\\output\\20191018_00_35_55.txt" signal = csvRead(fileName, '\t', '.', 'double'); FIR_coefficients = ffilt("bp", 20, 3, 1000); filteredSignal = convol(FIR_coefficients, signal(:,4)); //t = 0:(1/sample_rate):((length(signal(:,4))-1)/sample_rate); //figure(0) //plot(t, signal(:,4)); t = 0:(1/sample_rate):((length(filteredSignal)-1)/sample_rate); figure(10) plot(t, filteredSignal); //fftSig = filteredSignal(40*sample_rate:42*sample_rate); //N=length(fftSig)-1; //number of samples fftSig = signal(40*sample_rate:42*sample_rate, 4); N=length(fftSig)-1; //number of samples y=fft(fftSig); //s is real so the fft response is conjugate symmetric and we retain only the first N/2 points f=sample_rate*(0:(N/2))/N; //associated frequency vector n=size(f,'*') //figure(2) //plot(f,abs(y(1:n))/(length(f))) figure(3) analyze(fftSig, 2, 100, sample_rate, N)
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clc; R1=27*10**3; R2=56*10**3; C1=0.01*10**-6; t2=0.7*R2*C1; t1=0.7*(R1+R2)*C1; T=t1+t2; f=1/T; disp('kHZ',f*10**-3,"f="); t=(0:0.1:6*%pi)'; plot2d1('onn',t,[squarewave(t,60)]);
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// Scilab code Ex7.4: Pg:288 (2008) clc;clear; f0 = 8e+06; // Cyclotron frequency, c/s c = 3e+010; // Speed of light, cm/s m = 1.67e-024; // Mass of proton, gm q = 4.8e-010/c; // Charge on a proton, esu // Since the cyclotron frequency is given by fo = q*B/2*%pi*m. On solving it for B, we have B = 2*%pi*m*f0/q; // Magnetic field, Weber per meter square printf("\nThe magnetic field to accelerate protons = %5.3f Wb per Sq. m", B/1e+04); // Result // The magnetic field to accelerate protons = 0.525 Wb per Sq. m
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msglvl +verbose +emsgloc msglvl +time +usecs * ---------------------------------------------------------------------------- *Testcase runtest4: all cpus 1-4 seconds * ---------------------------------------------------------------------------- * numcpu 4 # Total CPUs needed for this test... * * ---------------------------------------------------------------------------- * defsym secs0 1 # Loop duration in seconds for each CPU... defsym secs1 2 defsym secs2 3 defsym secs3 4 * defsym maxdur 10.5 # Pessimistic test duration * * ---------------------------------------------------------------------------- * script "$(testpath)/runtest.subtst" * * ---------------------------------------------------------------------------- numcpu 1 # Clean up own mess
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mode(-1); lines(0); my_handle = scf(0); clf(my_handle,"reset"); demo_viewCode("aggloms.dem.sce"); // DEMO START Data = read(SCI+'/contrib/OpenPR-0.0.2/etc/data/aggloms_data',2,1810); Label = read(SCI+'/contrib/OpenPR-0.0.2/etc/data/aggloms_label',1,1810); sigma = 0.4; // kernel bandwidth ite_num = 60; // iteration times [cluster_centers, cluster_id]=aggloms(Data', sigma, ite_num); //-------------------- draw clusters -------------------------------- cluster_count = size(cluster_centers,1); for (i=1:cluster_count) my_color = rand(1,3); plot(Data(1,find(cluster_id==i)), Data(2,find(cluster_id==i)),'o','marker','sq','markersize',6,'markforegroun',my_color,'markbackgro',my_color); end plot(cluster_centers(:,1), cluster_centers(:,2), 'gs','marker','o','markersize',10,'markbackgro','g'); // DEMO END
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//Chapter 4, Example 4.2, Page 89 clc clear //Binding energy O15 = 15.0030654 // atomic mass of O15 isotope mn = 1.00866492 O16 = 15.9949146 // atomic mass of O16 isotope c2 = 931.5 // C^2 in MeV S = (O15+mn-O16)*c2 printf("\n Binding energy = %f MeV",S); //Answer may vary due to round off error
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errcatch(-1,"stop");mode(2);//calculate ac alpha and beta ; ; //soltion //given ic=0.995//mA//Emitter current change ie=1//mA//collector current change a=ic/ie; B=a/(1-a); printf("The ac alpha is %.3f\n",a) printf("The common emitter ac current gain is %.0f",B); exit();
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style.fontSize=12; //style.fillColor="green"; style.displayedLabel="<table> <tr> <td><b>In(+)<br>In(-)</b></td> <td align=center>OTA1<br><b color=green>%1$s</b></td> <td align=left><b>Out</b></td> </tr> </table>"; pal11 = xcosPalAddBlock(pal11,"macrocab_ota1",[],style);
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###TStar Version 05 Tree Description File ###USER=Unknown ###TIME=Sat Nov 28 21:46:28 2009 n=0;h=0;d=2; v:op=12;n=1;h=0;d=2; ^ v:op=12;n=2;h=0;d=2; v:op=0;n=3;h=0;d=2; ^ ^ v:op=12;n=4;h=0;d=2; v:op=0;n=5;h=0;d=2; v:op=2;n=6;h=0;d=2; v:op=2;n=7;h=0;d=2; ^ ^ ^ ^ ^
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// Exa 1.8 clc; clear; close; format('v',7) // Given data R1= 2;// in ohm R2= 4;// in ohm R3= 1;// in ohm R4= 6;// in ohm R5= 4;// in ohm V1= 10;// in V V2= 20;// in V //Applying KVL in ABGHA : I1*(R1+R2) - R2*I2 = V1 (i) //Applying KVL in BCFGB : I1*R5-I2*(R3+R4+R5)+I3*R4 = 0 (ii) //Applying KVL in CDEFC: R4*I2-I3*(R2+R4)=V2 (iii) A= [(R1+R2) R5 0; -R2 -(R3+R4+R5) R4; 0 R4 -(R2+R4)]; B= [V1 0 V2]; I= B*A^-1;// Solving eq(i), (ii) and (iii) by Matrix method I1= I(1);// in A I2= I(2);// in A I3= I(3);// in A I6_ohm_resistor= I2-I3;//The current through 6 ohm resistance in A disp(I6_ohm_resistor,"The current through 6 ohm resistance in A is : ")
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//chapter 19 //example 19.3 //page 597 clear all; clc ; //given Vcc=6;//supply voltage V Ib=200;//base current when Xtor is ON microA Rdark=100;//cell dark resistance kohm //when Xtor is ON Vcell=Vcc+0.7;//for Si Xtor Icell=1000*Vcell/Rdark;//microA //current through R1 IR1=Icell+Ib; VR1=Vcc-0.7; R1=1000*VR1/IR1; //When Xtor is Off,base <=0V(Ib=0) VR1=Vcc; IR1=1000*VR1/R1;//microA //since Ib=0 Icell=IR1; Vcell=Vcc; Rcell=1000*Vcell/Icell; printf("\nR1=%d kohm\nCell resistance(Rcell)=%d kohm",ceil(R1),ceil(Rcell)); printf("\nQ1 is OFF when Rcell<=20 kohm")
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//Chapter-5, Illustration 15, Page 265 //Title: Air Compressors //============================================================================= clc clear //INPUT DATA P1=1;//Pressure at point 1 in bar T1=290;//Temperature at point 1 in K P3=60;//Pressure at point 3 in bar P2=8;//Pressure at point 2 in bar T2=310;//Temperature at point 2 in K L=0.2;//Stroke in m D=0.15;//Bore in m n=1.35;//Adiabatic gas constant N=200;//Speed in rpm //CALCULATIONS x=(n-1)/n;//Ratio V1=(3.147*(D^2)*L)/4;//Volume at point 1 in m^3 V2=(P1*V1*T2)/(T1*P2);//Volume of air entering LP cylinder in m^3 W=((P1*(10^5)*V1*(((P2/P1)^x)-1))/x)+((P2*(10^5)*V2*(((P3/P2)^x)-1))/x);//Workdone by compressor per cycle in J P=(W*N)/(60*1000);//Power of compressor in kW //OUTPUT mprintf('Power of compressor is %3.2f kW',P) //==============================END OF PROGRAM=================================
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/* Etideur: Jinshan GUO Objecitf: Fonction à réaliser l'algorithme de la méthode de Jacobi pour résoudre le système linéaire Ax = b Principe: A = M - N = D - E - F avec M = D , N = E + F M*x^(k+1) = N*x^(k) + b => x^(k+1) = M^(-1)*N*x^(k) + M^(-1)*b Containtes: A est une matrice inversible D est une matrice de la partie diagonale de A E est une matrice de la partie triangulaire inférieure de A, avec E = -A F est une matrice de la partie triangulaire supérieure de A, avec F = -A Valeur retour: x est la résolution du système k est nombre d'intération à converger */ function [x,k]=Jacobi(A, b, x0, Kmax, tol) /* x0: valeur initiale Kmax: nombre maximum de l'itération tol: tolérance de l'erreur */ n = size(A,1); //Nombre de ligne de la matrice A if length(x0) <> n then error("Taille du vecteur initial incorrecte"); end x = zeros(n,1); for k=1:Kmax for i=1:n if abs(A(i,i)) < tol then error("Matrice A non invesible") end s = 0 for j = 1:n if j <> i then s = s + A(i,j) * x0(j); end end x(i) = (1 / A(i,i)) * (b(i) - s); // Calculer x^(k+1) end if norm(x-x0)/norm(x) < tol then // Tester la convergence return; else x0 = x; end end if k == Kmax then error("La méthode Jacobi non convergente"); end endfunction function [x,k]=Jacobi_Mat(A, b, x0, Kmax, tol) //Vérification: aucun terme de la diagonal de A n'est nul if ~and(diag(A)) then error("erreur: présence d''un zéro sur la diagonale de A"); end // Décomposition de A = D - E- F D = diag(diag(A)); E = - (triu(A) - D); F = - (tril(A) - D); // Initialisation x = x0; // Boucle itérative de résolution for k = 1:Kmax x = inv(D) * ((E + F) * x + b); if norm(abs(A*x - b)) < tol then return; end end if k == Kmax then error("La méthode Jacobi non convergente"); end endfunction A = [6 2 3; -1 7 5; 3 -2 6]; //Matrice diagonale strictement dominante b = [9;8;7]; x0 = [1;1;2]; Kmax = 100; tol = %eps; [x1,k1]=Jacobi(A, b, x0, Kmax, tol) disp(x1); disp(k1); [x2,k2]=Jacobi_Mat(A, b, x0, Kmax, tol) disp(x2); disp(k2);
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clc w7=1200 //Assigning values to parameters wf=w7/(0.75*0.75) w5=0.5*0.5*wf disp("Watts",w5,"The copper loss at 50% full-load condition is");
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MSDOS = 0; ///////////////////////////////////////////////////////////////////////////// // interface avec le programmes qdelaunay // a) récupérer les programmes sources sur le site http://www.qhull.org // b) compiler les programmes // -> exécutables qhull qvoronoi rbox qconvex qdelaunay qhalf // Seul le programme exécutable qdelaunay est utilisé dans ce script ///////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////// // récupérer la date actuelle sous forme d'un chaine de caractere // au format AAMMJJhhmmss function s = datestring() dt = getdate(); s = msprintf("%04d%02d%02d%02d%02d%02d", dt([1 2 6 7 8 9])); endfunction ///////////////////////////////////////////////////////////////////////////// // calcul du centre de la sphere circonscrite à une d-cellule de R^d // Entree : S = d+1 points de dimension d, sommets de la d-cellule // tableau de d+1 lignes et d colonnes (1 point par ligne) // Sortie : C = point de R^d (ligne de d colonnes) function C = centre_sphere_circonscrite(S) d = size(S,2); M = zeros(d,d); b = zeros(d,1); for i=1:d for j=1:d M(i,j) = S(d+1,j)-S(i,j); b(i) = b(i)+0.5*(S(d+1,j)^2-S(i,j)^2); end end C = (M\b)'; endfunction function test_centre_sphere_circonscrite() // test 1 d = 10; S = rand(d+1,d); C = centre_sphere_circonscrite(S); mprintf("C = "); mprintf("%15.7e ",C'); mprintf("\n"); for i=1:d+1 mprintf(" ||C-S(%2d)|| = %15.7e\n", i, norm(C-S(i,:))); end endfunction ///////////////////////////////////////////////////////////////////////////// // calcul de la triangulation de Delaunay en dimension d // Entrée : S = tableau des nS sommets // matrice de nS lignes et d colonnes // une ligne = les d coordonnees d'un sommet // Sortie : T = tableau des nT cellules de la triangulation // matrice de nT lignes et d+1 colonnes // une ligne = les indices des d+1 sommets de la cellule // l'indiçage fait référence au tableau S et commence à 1 // C = centre des sphères circonscrites aux cellules // matrice de nT lignes et d colonnes // une ligne = les d coordonnees d'un centre // r = rayon des sphères circonscrites aux cellules // vecteur de nT réels function [T,C,r] = delaunay(S) nargout = argn(1); nargin = argn(2); if nargin~=1 error('syntaxe : T = delaunay(S)'); end // dimensions du tableau de sommets nS = size(S,1); d = size(S,2); // nom des fichiers temporaires pour l'interface avec qhull date_s = datestring(); nom_fichier_sommets = msprintf("qhullS-%s.tmp.o", date_s); nom_fichier_triangles = msprintf("qhullT-%s.tmp.o", date_s); // écriture du tableau de sommets dans le fichier nom_fichier_sommets f = mopen(nom_fichier_sommets,"w"); mfprintf(f, "%d\n%d\n", d, nS); for i=1:nS for j=1:d mfprintf(f, " %15.7e", S(i,j)); end mfprintf(f, "\n"); end mclose(f); // appel du programme qdelaunay if MSDOS commande = msprintf("qdelaunay.exe Qt s i < %s > %s", ... nom_fichier_sommets, nom_fichier_triangles); else commande = msprintf("./qdelaunay Qt s i < %s > %s", ... nom_fichier_sommets, nom_fichier_triangles); end host(commande); // lecture des triangles f = mopen(nom_fichier_triangles,"r"); nT = mfscanf(f, "%d"); T = zeros(nT,d+1); for i=1:nT for j=1:d+1 T(i,j) = mfscanf(f, "%d"); end end T = T+1; // indicage a partir de 1 mclose(f); // destruction des fichiers temporaires mdelete(nom_fichier_sommets); mdelete(nom_fichier_triangles); if nargout>1 // calcul des centres des spheres circonscrites C = zeros(nT,d); for i=1:nT C(i,:) = centre_sphere_circonscrite(S(T(i,:),:)); end if nargout>2 // calcul des rayons r = zeros(nT,1); for i=1:nT r(i) = norm(S(T(i,1),:)-C(i,:)); end end end endfunction ///////////////////////////////////////////////////////////////////////////// // dessin d'une triangulation en 2D function dessin_delaunay(S,T) nargin = argn(2); if nargin~=2 error('syntaxe : dessin_delaunay(S,T)'); end if size(S,2)~=2 error('le tableau de sommets doit avoir 2 colonnes'); end if size(T,2)~=3 error('le tableau de triangles doit avoir 3 colonnes'); end nS = size(S,1); nT = size(T,1); plot(S(:,1),S(:,2),'ko'); for i=1:nS xstring(S(i,1),S(i,2),msprintf("%d",i)); end T2 = [T T(:,1)]'; Sx = zeros(4,nT); Sy = zeros(4,nT); for i=1:4 Sx(i,:) = S(T2(i,:),1)'; Sy(i,:) = S(T2(i,:),2)'; end plot(Sx,Sy,'r-'); // nT = size(T,1); // for i=1:nT // s1 = T(i,1); // s2 = T(i,2); // s3 = T(i,3); // plot(S([s1 s2 s3 s1],1),S([s1 s2 s3 s1],2),'r-'); // end a=gca(); xmin = min(S(:,1)); xmax = max(S(:,1)); ymin = min(S(:,2)); ymax = max(S(:,2)); a.data_bounds=[... xmin-0.2*(xmax-xmin),ymin-0.2*(ymax-ymin);... xmax+0.2*(xmax-xmin),ymax+0.2*(ymax-ymin)]; a.isoview="on"; endfunction ////////////////////////////////////////////////////////////////////////////// // test de la routine delaunay ////////////////////////////////////////////////////////////////////////////// function test_delaunay(num_test) if argn(2)<1 num_test=0; end select num_test case 1 //// test 1 // les données S = [ 0 0; 2 0; 4 0; 0 2; 1 2; 3 2; 2 3]; [T,C,r] = delaunay(S); // tracé de la triangulation de Delaunay scf(); dessin_delaunay(S,T); // tracé des centres des cercles circonscrits plot(C(:,1),C(:,2),'g+'); // tracé des cercles circonscrits t = linspace(0,2*%pi,1000); for i=1:size(C,1) plot(C(i,1)+r(i)*cos(t),C(i,2)+r(i)*sin(t),'g-'); end case 2 then //// test 2 - points aléatoires S = rand(100,2); T = delaunay(S); scf(); dessin_delaunay(S,T); case 3 then //// test 3 - points suivant une grille régulière S = zeros(100,2); for i=0:9 for j=1:10 S(i*10+j,:)=[2*j+i 2*i]; end end T = delaunay(S); scf(); dessin_delaunay(S,T); case 4 then //// test 4 - points entrés à la souris S = inputpoints()'; [T,C] = delaunay(S); // tracé de la triangulation de Delaunay dessin_delaunay(S,T); // tracé des centres des cercles circonscrits plot(C(:,1),C(:,2),'g+'); end // select endfunction ////////////////////////////////////////////////////////////////////////////// // entrée d'un ensemble de points à la souris // en sortie, le tableau X avec p points du plan (dimensions 2 x p) function X = inputpoints() f=scf(); // une nouvelle fenetre set(gca(),"auto_clear","off") set(gca(),"data_bounds",[0,0;100,100]) // bornes des axes en x et y set(gca(),"margins",[0.05,0.05,0.05,0.05]) // marges du repere dans la fenetre set(gca(),"box","on") set(gca(),"isoview","on") set(gca(),"auto_scale","off") // boucle de saisie des points but = 3; i = 0; while but==3 | but==0 | but==10 | but==20 xinfo("Point suivant : bouton gauche - Dernier point : bouton droite"); i = i+1; [but,v0,v1] = xclick(); X(1,i) = v0; X(2,i) = v1; plot(X(1,i),X(2,i),"ro") end; endfunction
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//exapple 1.7 clc; funcprot(0); // Initialization of Variable rho=990; mu=5.88/10000; g=9.81; pi=3.14; temp=46+273 e=1.8/10000//absolute roughness Q=4800/1000/3600; l=155; h=10.5; d=0.038; delh=1.54//head loss at heat exchanger effi=0.6//efficiency //calculations //part 1 u=Q*4/pi/d^2; Re=rho*d*u/mu; rr=e/d;//relative roughness //from moody's diagram phi=0.0038//friction factor alpha=1//constant leff=l+h+200*d+90*d; Phe=g*delh//pressure head lost at heat exchanger W=u^2/2/alpha+Phe+g*h+4*phi*leff*u^2/d;//work done by pump G=Q*rho;//mass flow rate P=W*G;//power required by pump Pd=P/effi//power required to drive pump disp(Pd/1000,"power required to drive pump in (kW)"); //part 2 P2=(-u^2/2/alpha+W)*rho; disp(P2/1000,"The gauge pressure in (kPa):")
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function[] = sswFinish() folderPath = sswGetScriptFolder(); f = mopen(sprintf('%s..\\ScilabOutput.txt', folderPath), 'a'); mfprintf(f, 'sswFinish: '); values = sswGetOutput('outitem'); for i=1:size(values,2) mfprintf(f, '%0.2f ', values(i)); end mfprintf(f, '\n'); mclose(f); endfunction
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//ANALOG AND DIGITAL COMMUNICATION //BY Dr.SANJAY SHARMA //CHAPTER 11 //Information Theory clear all; clc; printf("EXAMPLE 11.2(PAGENO 488)"); //given Px_i = 1/4//probability of a symbol //calculation Ix_i = (log(1/Px_i))/log(2)//formula for amount of information of a symbol //result printf("\n\ni. Amount of information = %.2f bits",Ix_i)
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mode(1) //execution mode with echo A=[1 2;3 4];y=[3;5]; x1=linsolve(A,-y); //not displayed, even "with echo" x2=A^(-1)*y //displayed if "with echo" disp(x1,'x=') //displayed even "with no echo"
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false
687
sce
Ex3_26.sce
//Variable declaration beeta=125 //current gain gm=35 //transconductance(mS) Re=4 //emitter resistance(k ohms) Rb=1.5 //base resistance(k ohms) //Calculations //Part a rpi=beeta/gm //dynamic resistance(k ohms) Ri=rpi+((1+beeta)*Re) //input resistance(k ohms) Ro=((Rb+rpi)*Re)/((Rb+rpi)+((1+beeta)*Re)) //output resistance(ohms) as Ro=Vo/Isc //Part b f=((1+beeta)*Re)/(Rb+rpi+((1+beeta)*Re)) //transfer function //Results printf ("value of Ri is %.1f K ohms and Ro is %.4f k",Ri,Ro) printf ("transfer function is %.2f",f)