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//chapter 6 //example 6.12 //Calculate electron density for a metal //page 150 clear; clc; //given E_F_L=4.7; // in eV (Fermi energy in Lithium) E_F_M=2.35; // in eV (Fermi energy in a metal) n_L=4.6E28; // in 1/m^3 (density of electron in Lithium) //calculate // Since n=((2*m/h)^3/2)*E_F^(3/2)*(8*pi/3) and all things except E_F are constant // Therefore we have n=C*E_F^(3/2) where C is proportionality constant // n1/n2=(E_F_1/E_F_2)^(3/2) // Therefore we have n_M=n_L*(E_F_M/E_F_L); // calculation of electron density for a metal printf('\nThe lectron density for a metal is \t=%1.1E 1/m^3', n_M); //Note: Answer in the book is wrong due to priting error
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clear clc //to find time required by body to come halfway // GIVEN: //refer to figure 17-15 from page no. 385 //from the equation given //radius of reference circle r = 0.35//in m //angular speed omega = 8.3//in rad/s // SOLUTION //refer to problem 17-5 //angle turned to come halfway wt = 60//in degree //time required by body to come halfway t = ((wt*%pi)/180)/omega//in seconds //taking angle in radians printf ("\n\n Angle turned to come halfway wt = \n\n %2i degree",wt) printf ("\n\n Time required by body to come halfway t = \n\n %.2f seconds",t)
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clc // Given that BE = 13.6 // Binding energy of electron in eV c = 3e8 // speed of light in m/sec // Sample Problem 35 on page no. 60 printf("\n # PROBLEM 35 # \n") printf(" Standard formula used \n") printf("\n E = m*c^2 \n") del_m = BE*1.6e-19/c^2 // loss of mass in kg printf("\n Loss of mass in formation of one atom of hydrogen is %ekg.",del_m) clc
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clc; //e.g 27.16 hfe=99; hie=2*10**3; hie1=2000; hie2=2000; Rc=22*10**3; R4=100; R1=220*10**3; R2=22*10**3; RC1=4.7*10**3; R3=7.8*10**3; Ri=hie; a=(R1*R2)/(R1+R2); b=(a*Rc)/(a+Rc); R01=(b*hie1)/(b+hie1) disp('Kohm',R01*10**-3,"R01="); Ri2=hie; C=(R3+R4); R02=(RC1*C)/(RC1+C) disp('Kohm',R02*10**-3,"R02="); AV1=hfe*R01/hie; AV2=hfe*R02/hie; AV=AV1*AV2; bta=R4/(R3+R4); Ri1=Ri*(1+bta*AV); disp('Kohm',Ri1*10**-3,"Ri1="); RO2=R02/(1+bta*AV); disp('ohm',RO2*1,"RO2="); AV1=AV/(1+bta*AV); disp(AV1);
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ms=[];incomemean=[];bref=[];bnorm=[]; ms(1)=5.434968908330303E8; incomemean(1)=10000; bref(1)=5000; bnorm(1)=5000; ms(2)=1.1313075247166609E80; incomemean(2)=10000; bref(2)=7000; bnorm(2)=5000; ms(3)=5.149266117542891E8; incomemean(3)=10000; bref(3)=5000; bnorm(3)=7000; ms(4)=3.931488099239337E8; incomemean(4)=12000; bref(4)=5000; bnorm(4)=5000; ms(5)=3.851424992617375E8; incomemean(5)=12000; bref(5)=5000; bnorm(5)=5000; ms(6)=3.921528077268047E8; incomemean(6)=12000; bref(6)=5000; bnorm(6)=5000; ms(7)=5.6532603326403855E87; incomemean(7)=12000; bref(7)=7000; bnorm(7)=5000; ms(8)=3.839067249312255E8; incomemean(8)=12000; bref(8)=5000; bnorm(8)=7000; ms(9)=2.26819065977344E8; incomemean(9)=14000; bref(9)=5000; bnorm(9)=5000; ms(10)=2.3766631696279427E8; incomemean(10)=14000; bref(10)=5000; bnorm(10)=5000;
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// Exa 2.11 clc; clear; close; // Given data V_DD= 15;// in V KnWbyL= 0.25;// in mA/V^2 KnWbyL=KnWbyL*10^-3;// in A/V^2 Vt= 1.5;// in V V_A= 50;// in V R_D= 10;// in kΩ R_D= R_D*10^3;// in Ω R_L= 10;// in kΩ R_L= R_L*10^3;// in Ω R_G= 10;// in MΩ R_G= R_G*10^6;// in Ω // I_D= 1/2*KnWbyL*(V_D-Vt)^2 , (V_GS= V_D, as dc gate current is zero) (i) // V_D= V_DD- I_D*R_D (ii) I_D= 1.06;// in mA I_D = I_D*10^-3;// in A V_D= V_DD- I_D*R_D;// in V V_GS=V_D;// in V // The coordinates of operating point V_GSQ= V_D;// in V I_DQ= I_D*10^3;// in mA disp("The coordinates of operating points are V_GSQ = "+string(V_GSQ)+" V and I_DQ= "+string(I_DQ)+" mA") gm= KnWbyL*(V_GS-Vt);// in A/V r_o= V_A/I_D;//in Ω // The gain is : Av= vo/vi = -gm*(R_D||R_L||r_o) Av= -gm*[R_D*R_L*r_o/(R_D*R_L+R_D*r_o+R_L*r_o)];// in V/V // i_i= (vi-vo)/R_G // i_i= vi/R_G*(1-vo/vi) and Rin= vi/i_i = R_G/(1-Av) Rin= R_G/(1-Av);// in Ω disp(Rin*10^-6,"The input resistance in MΩ is : ") disp("The largest allowable input signal vi is determined by the need to keep the MOSFET in saturation at all times") disp(" V_DS >= V_GS- vt") disp("By enforcing this condition with equality at the point V_GS is maximum and V_DS is correspondingly minimum") disp(" V_DSmin= V_GSmax -Vt") disp(" V_DS-|Av| vi = V_GS + vi -Vt") disp(" 4.4 - 3.3 vi = 4.4 + vi -1.5") disp("which results in vi= 0.34V")
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// Exa 4.6 clc; clear; close; // Given data Rho_p = 2;// in ohm-cm Rho_n = 1;// in ohm cm q = 1.6*10^-19;// in C n_i = 2.5*10^13;// atoms per cm^3 Miu_p = 1800; Miu_n = 3800; N_A = 1/(Rho_p*q*Miu_p);// in /cm^3 N_D = 1/(Rho_n*q*Miu_n);// in /cm^3 V_T = 26;//in mV V_T= V_T*10^-3;// in V V_J = V_T*log((N_A*N_D)/((n_i)^2));//in V disp(V_J,"The height of the potential energy barrier in V is"); Miu_p = 500; N_A = 1/(Rho_p*q*Miu_p);// in /cm^3 Miu_n = 1300; N_D = 1/(Rho_n*q*Miu_n);// in /cm^3 n_i = 1.5*10^10; V_J = V_T*log((N_A*N_D)/((n_i)^2));//in V disp("For silicon P-N juction") disp(V_J,"The height of the potential energy barrier in V is");
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<?xml version="1.0" encoding="utf-8"?> <test> <description>2D unsteady WeakDG advection MODIFIED, P=3 Dirichlet bcs, regular triangular elements using AVX BwdTrans</description> <executable>ADRSolver</executable> <parameters>Advection2D_dirichlet_regular_MODIFIED_triangle_98.xml</parameters> <files> <file description="Session File">Advection2D_dirichlet_regular_MODIFIED_triangle_98.xml</file> </files> <metrics> <metric type="L2" id="1"> <value variable="u" tolerance="1e-7"> 0.0014953 </value> </metric> <metric type="Linf" id="2"> <value variable="u" tolerance="1e-8"> 0.00385391 </value> </metric> </metrics> </test>
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// Theory and Problems of Thermodynamics // Chapter 8 // Power and Refrigeration Cycles // Example 7 clear ;clc; //Given data P1 = 2.5 // entering pressure of superheated steam in MPa T1 = 523.15 // entering temperature of superheated steam in K P_e1 = 10 // condenser pressure of exhaust steam in kPa P_e2 = 5 // condenser pressure of exhaust steam in kPa // Steam at 5 kPa vf = 0.001010 // in m^3/kg hf = 137.82 // in kJ/kg hfg = 2423.7 // in kJ/kg sf = 0.4764 // in kJ/kg K sfg = 7.9187 // in kJ/kg K // Steam at 2.5 MPa and 523.15 K h4 = 2880.1 // in kJ/kg s4 = 6.4085 // in kJ/kg K s5 = s4 X5 = (s5-sf)/sfg h5 = hf + X5*hfg // in kJ/kg h2_h1 = vf*(P1*1e3-P_e2) // h2_h1 = h2-h1 in kJ/kg h2 = hf + h2_h1 // in kJ/kg n = ((h4 - h5)-(h2_h1))/(h4-h2) // Output Results mprintf('Thermal efficiency of power plant = %4.4f' ,n);
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clc clear //Initialization of variables Lr=1/10 rhom=2 rhop=1.94 //calculations Vr=sqrt(Lr) Tr=Lr/Vr ar=Vr/Tr Fr=rhom/rhop *ar*Lr^3 //results printf("Velocity ratio = %.4f",Vr) printf("\n Time ratio = %.4f",Tr) printf("\n Acceleration ratio = %d ",ar) printf("\n Force ratio = %.6f",Fr)
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//Example 1.5 //Sketch the signal x(t)=A[u(t+a)-u(t-a)] clc; A=1; a=2; t=-a:a x=ones(length(t),1); plot(t,x) //this signal is a finite duration signal so it is energy signal E=integrate('1','t',-a,a);
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clear; clc; //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 //Example 6.6 //Caption : Program to Find the State of Steam at the Exit Nozzle //Given values P1=1000;//[KPa] T=533.15;//[K] P2=200;//[KPa] H1=2965.2;//[KJ/kg] from Steam tables S1=6.9680;//[KJ/Kg/K] From steam tables S2=S1; S_l=1.5301;//[KJ/Kg/K] Entropy Of Saturated Liquid @ 200KPa S_v=7.1268;//[KJ/Kg/K] Entropy Of Saturated vapor @ 200KPa H_l=504.7;//[KJ/Kg] Enthalpy Of saturated liquid @ 200KPa H_v=2706.7;//[KJ/Kg] Enthalpy Of saturated vapor @ 200KPa //Solution //find x_v from the eqn S=(1-x_v)S_l+x_c*S_v x_v=approx((S1-S_l)/(S_v-S_l),4); //From Eqn(6.73a) H2=((1-x_v)*H_l)+(x_v*H_v); del_H=approx(H2-H1,0);//[KJ/Kg] disp('%',x_v*100,'Percent vapor') disp('%',(1-x_v)*100,'Percent Liquid') disp('KJ/Kg',del_H,'Change In Enthalpy') //End
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37,975,407
3
12
null
null
null
null
UTF-8
Scilab
false
false
258
sce
W_11.sce
// sum 12-11 clc; clear; t=30; sigut=417; sige=sigut/2; Ka=0.5; Kb=0.85; Kc=0.897; SCF=1.2; Kd=1/SCF; FOS=1.5; sige1=sige*Ka*Kb*Kc*Kd/FOS; Pa=60*10^3; l=Pa/(sige1*t); // printing data in scilab o/p window printf("l is %0.1f mm ",l);
48a42c91ea2a2209d344764ef77303e9a7ba3ee4
36c5f94ce0d09d8d1cc8d0f9d79ecccaa78036bd
/Happy Birthday.sce
a8fa929244e3c64a1e2948355484239a42488ad5
[]
no_license
Ahmad6543/Scenarios
cef76bf19d46e86249a6099c01928e4e33db5f20
6a4563d241e61a62020f76796762df5ae8817cc8
refs/heads/master
2023-03-18T23:30:49.653812
2020-09-23T06:26:05
2020-09-23T06:26:05
null
0
0
null
null
null
null
UTF-8
Scilab
false
false
102,366
sce
Happy Birthday.sce
Name=Happy Birthday PlayerCharacters=Birthday Player BotCharacters=Candlelight.bot IsChallenge=true Timelimit=10.0 PlayerProfile=Birthday Player AddedBots=Candlelight.bot;Candlelight.bot;Candlelight.bot;Candlelight.bot;Candlelight.bot;Candlelight.bot;Candlelight.bot;Candlelight.bot PlayerMaxLives=0 BotMaxLives=1;1;1;1;1;1;1;1 PlayerTeam=1 BotTeams=2;2;2;2;2;2;2;2 MapName=happy_birthday.map MapScale=1.0 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=false InvincibleBots=false Timescale=1.0 BlockHealthbars=true TimeRefilledByKill=0.0 ScoreToWin=1.0 ScorePerDamage=0.0 ScorePerKill=0.0 ScorePerMidairDirect=0.0 ScorePerAnyDirect=0.0 ScorePerTime=1.0 ScoreLossPerDamageTaken=0.0 ScoreLossPerDeath=0.0 ScoreLossPerMidairDirected=0.0 ScoreLossPerAnyDirected=0.0 ScoreMultAccuracy=false ScoreMultDamageEfficiency=false ScoreMultKillEfficiency=false GameTag=Fun WeaponHeroTag= DifficultyTag=1 AuthorsTag=pleasewait BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=false BlockFCT=true Description=Blow out candles quickly. GameVersion=1.0.7.2 ScorePerDistance=0.0 [Aim Profile] Name=_ MinReactionTime=0.000001 MaxReactionTime=0.000001 MinSelfMovementCorrectionTime=0.000001 MaxSelfMovementCorrectionTime=0.000001 FlickFOV=90.0 FlickSpeed=10.0 FlickError=0.0 TrackSpeed=10.0 TrackError=0.0 MaxTurnAngleFromPadCenter=360.0 MinRecenterTime=0.0 MaxRecenterTime=0.0 OptimalAimFOV=360.0 OuterAimPenalty=0.0 MaxError=0.0 ShootFOV=90.0 VerticalAimOffset=0.0 MaxTolerableSpread=0.0 MinTolerableSpread=0.0 TolerableSpreadDist=100000.0 MaxSpreadDistFactor=1.0 [Bot Profile] Name=Candlelight DodgeProfileNames= DodgeProfileWeights= DodgeProfileMaxChangeTime=60.0 DodgeProfileMinChangeTime=60.0 WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=_;_;_;_;_;_;_;_ WeaponSwitchTime=60.0 UseWeapons=false CharacterProfile=Candlelight SeeThroughWalls=false NoDodging=true NoAiming=true [Character Profile] Name=Birthday Player MaxHealth=1.0 WeaponProfileNames=Blow;;;;;;; MinRespawnDelay=0.000001 MaxRespawnDelay=0.000001 StepUpHeight=0.0 CrouchHeightModifier=1.0 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=0.0 MovementType=Base MaxSpeed=0.0 MaxCrouchSpeed=0.0 Acceleration=0.0 AirAcceleration=16000.0 Friction=0.0 BrakingFrictionFactor=0.0 JumpVelocity=0.0 Gravity=0.0 AirControl=0.0 CanCrouch=false CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=true InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Cylindrical MainBBHeight=72.0 MainBBRadius=16.0 MainBBHasHead=false MainBBHeadRadius=0.1 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=72.0 ProjBBRadius=16.0 ProjBBHasHead=false ProjBBHeadRadius=0.1 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=false AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=false BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=0.0 VerticalSpawnOffset=0.0 [Character Profile] Name=Candlelight MaxHealth=1.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=0.000001 MaxRespawnDelay=0.000001 StepUpHeight=0.0 CrouchHeightModifier=1.0 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=0.0 MovementType=Base MaxSpeed=0.0 MaxCrouchSpeed=0.0 Acceleration=0.0 AirAcceleration=16000.0 Friction=0.0 BrakingFrictionFactor=0.0 JumpVelocity=0.0 Gravity=0.0 AirControl=0.0 CanCrouch=false CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=1.000 Y=1.000 Z=1.000 EnemyHeadColor=X=1.000 Y=0.000 Z=0.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Cylindrical MainBBHeight=32.0 MainBBRadius=8.0 MainBBHasHead=false MainBBHeadRadius=0.1 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=64.0 ProjBBRadius=16.0 ProjBBHasHead=false ProjBBHeadRadius=0.1 ProjBBHeadOffset=0.0 ProjBBHide=true HasJetpack=false JetpackActivationDelay=0.2 JetpackFullFuelTime=4.0 JetpackFuelIncPerSec=1.0 JetpackFuelRegensInAir=false JetpackThrust=6000.0 JetpackMaxZVelocity=400.0 JetpackAirControlWithThrust=0.25 AbilityProfileNames=;;; HideWeapon=true AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=1.0 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=0.0 RespawnAnimationDuration=0.0 AllowBufferedJumps=false BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=0.0 VerticalSpawnOffset=-16.0 [Weapon Profile] Name=Blow Type=Hitscan ShotsPerClick=1 DamagePerShot=10.0 KnockbackFactor=0.0 TimeBetweenShots=0.1 Pierces=false Category=SemiAuto 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=1000000.0 GravityScale=1.0 HeadshotCapable=false HeadshotMultiplier=2.0 MagazineMax=4 AmmoPerShot=1 ReloadTimeFromEmpty=0.5 ReloadTimeFromPartial=0.5 DamageFalloffStartDistance=1000000.0 DamageFalloffStopDistance=1000000.0 DamageAtMaxRange=100.0 DelayBeforeShot=0.0 HitscanVisualEffect=None ProjectileGraphic=Ball VisualLifetime=0.1 WallParticleEffect=None HitParticleEffect=None BounceOffWorld=false BounceFactor=0.5 BounceCount=0 HomingProjectileAcceleration=0.0 ProjectileEnemyHitRadius=1.0 CanAimDownSight=false ADSZoomDelay=0.000001 ADSZoomSensFactor=1.0 ADSMoveFactor=1.0 ADSStartDelay=0.0 ShootSoundCooldown=0.1 HitSoundCooldown=0.1 HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=0.0 RecoilNegatable=false DecalType=0 DecalSize=30.0 DelayAfterShooting=0.0 BeamTracksCrosshair=false AlsoShoot= ADSShoot= StunDuration=0.0 CircularSpread=true SpreadStationaryVelocity=0.0 PassiveCharging=false BurstFullyAuto=true FlatKnockbackHorizontal=0.0 FlatKnockbackVertical=0.0 HitscanRadius=0.0 HitscanVisualRadius=6.0 TaggingDuration=0.0 TaggingMaxFactor=1.0 TaggingHitFactor=1.0 ProjectileTrail=None RecoilCrouchScale=1.0 RecoilADSScale=1.0 PSRCrouchScale=1.0 PSRADSScale=1.0 ProjectileAcceleration=0.0 AccelIncludeVertical=false AimPunchAmount=0.0 AimPunchResetTime=0.0 AimPunchCooldown=0.0 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=false MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=4 CancelReloadOnKill=true FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=90.0 ADSFOVScale=Vertical (1:1) ADSAllowUserOverrideFOV=true IsBurstWeapon=false ForceFirstPersonInADS=true ZoomBlockedInAir=false ADSCameraOffsetX=0.0 ADSCameraOffsetY=0.0 ADSCameraOffsetZ=0.0 QuickSwitchTime=0.1 Explosive=false Radius=0.1 DamageAtCenter=0.0 DamageAtEdge=0.0 SelfDamageMultiplier=0.0 ExplodesOnContactWithEnemy=false DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=false DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=0.0 BlockedByWorld=false SpreadSSA=1.0,1.0,0.0,0.0 SpreadSCA=1.0,1.0,0.0,0.0 SpreadMSA=1.0,1.0,0.0,0.0 SpreadMCA=1.0,1.0,0.0,0.0 SpreadSSH=1.0,1.0,0.0,0.0 SpreadSCH=1.0,1.0,0.0,0.0 SpreadMSH=1.0,1.0,0.0,0.0 SpreadMCH=1.0,1.0,0.0,0.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=false TimeToRecoilPeak=0.1 TimeToRecoilReset=0.1 AAMode=2 AAPreferClosestPlayer=false AAAlpha=0.0 AAMaxSpeed=360.0 AADeadZone=0.0 AAFOV=360.0 AANeedsLOS=true TrackHorizontal=false TrackVertical=false AABlocksMouse=false AAOffTimer=0.0 AABackOnTimer=0.0 TriggerBotEnabled=false TriggerBotDelay=0.0 TriggerBotFOV=1.0 StickyLock=false HeadLock=false VerticalOffset=0.0 DisableLockOnKill=true UsePerShotRecoil=false PSRLoopStartIndex=0 PSRViewRecoilTracking=0.0 PSRCapUp=9.0 PSRCapRight=4.0 PSRCapLeft=4.0 PSRTimeToPeak=0.175 PSRResetDegreesPerSec=40.0 UsePerBulletSpread=false PBS0=0.0,0.0 [Map Data] reflex map version 8 global entity type WorldSpawn String32 targetGameOverCamera end UInt8 playersMin 1 UInt8 playersMax 16 brush vertices 160.000000 176.000000 624.000000 352.000000 176.000000 624.000000 352.000000 128.000000 560.000000 352.000000 160.000000 624.000000 160.000000 128.000000 560.000000 160.000000 112.000000 560.000000 160.000000 160.000000 624.000000 352.000000 112.000000 560.000000 faces 0.000000 0.000000 1.000000 1.000000 0.000000 0 1 2 4 0x00000000 0.000000 0.000000 1.000000 1.000000 0.000000 3 1 0 6 0x00000000 0.000000 0.000000 1.000000 1.000000 0.000000 0 4 5 6 0x00000000 0.000000 0.000000 1.000000 1.000000 0.000000 2 1 3 7 0x00000000 0.000000 0.000000 1.000000 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// Exa 6.1 clc; clear; close; // Given Data f_H= 2;// in kHz f_H= f_H*10^3;// in Hz C=0.01;// in micro F C=C*10^-6;// in F R= 1/(2*%pi*f_H*C);// in ohm R=R*10^-3;// in kohm // R may be taken a pot of 10 k ohm R=10;// in k ohm // Since the passbond gain is 2.5, so // 1+Rf/R1= 2.5 or Rf= 1.5*R1 // Since Rf||R1 R1= R*2.5/1.5;// in k ohm Rf= R1*1.5;// in k ohm disp("Value of R1 is : "+string(R1)+" k ohm") disp("Value of Rf is : "+string(Rf)+" k ohm")
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// FUNDAMENTALS OF ELECTICAL MACHINES // M.A.SALAM // NAROSA PUBLISHING HOUSE // SECOND EDITION // Chapter 2 : BESICS OF MAGNETIC CIRCUITS // Example : 2.11 clc;clear; // clears the console and command history // Given data I = 150 // current through conductor in A l = 2 // conductor length in m B = 0.35 // magnetic flux density in T // caclulations F = B*l*I // force in N // display the result disp("Example 2.11 solution"); printf("\n Force \n F = %.0f N \n", F);
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//Example 6.36 Deseasonalize the following production data clc; clear; Output=[30 49 50 35 49 50 61 20 35 62 60 25 75 79 65 70]; MV1=0; MV2=0; MV16=0; MV3=Output(1)+Output(2)+Output(3)+Output(4); MV4=Output(2)+Output(3)+Output(4)+Output(5); MV5=Output(3)+Output(4)+Output(5)+Output(6); MV6=Output(4)+Output(5)+Output(6)+Output(7); MV7=Output(5)+Output(6)+Output(7)+Output(8); MV8=Output(6)+Output(7)+Output(8)+Output(9); MV9=Output(7)+Output(8)+Output(9)+Output(10); MV10=Output(8)+Output(9)+Output(10)+Output(11); MV11=Output(9)+Output(10)+Output(11)+Output(12); MV12=Output(10)+Output(11)+Output(12)+Output(13); MV13=Output(11)+Output(12)+Output(13)+Output(14); MV14=Output(12)+Output(13)+Output(14)+Output(15); MV15=Output(16)+Output(13)+Output(14)+Output(15); MVT=[MV1 MV2 MV3 MV4 MV5 MV6 MV7 MV8 MV9 MV10 MV11 MV12 MV13 MV14 MV15 MV16]; T1=0; T2=0; T16=0; T15=0; T3=MV3+MV4; T4=MV4+MV5; T5=MV5+MV6; T6=MV6+MV7; T7=MV7+MV8; T8=MV8+MV9; T9=MV9+MV10; T10=MV10+MV11; T11=MV11+MV12; T12=MV12+MV13; T13=MV13+MV14; T14=MV14+MV15; T=[T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16]; MA=T./8; DT=Output-MA; disp(DT,"Deviation from tend",MA,"4 quarter Moving Total",T,"2 year Moving Total",MVT,"4 year Moving Average ",Output,"Output ="); P1=[0 DT(5) DT(9) DT(13)]; P2=[0 DT(6) DT(10) DT(14)]; P3=[DT(3)DT(7) DT(11) 0]; P4=[DT(4) DT(8) DT(12) 0]; RT1=sum(P1); RT2=sum(P2); RT3=sum(P3); RT4=sum(P4); RT=[RT1 RT2 RT3 RT4]; AM=RT./3; SS=AM-(0.57); M=[SS SS SS SS]; DD=Output-M; GA=sum(AM)/4; disp(DD,"Deseasonalised Data =",GA,"Grand Average =",SS,"Seasonal @ =",AM,"Average Movement =",RT,"Total of Deviations = ");
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//Introductory Topics :example 1-7 : (pg no. 21 & 22) BW=200*10^3; k=(1.38*10^-23); T=(273+22);//converting degrees C into kelvin R=(10*10^3); R1=300; NF1=3; NF2=8; NR1=2; NR2=6.31; df=((%pi/2)*BW); Pn=(k*T*df); en=sqrt(4*Pn*R); x=(14+20+20);//sum of the power gain of the three stages y=(x/10); Pg=(10^y); Po=(Pn*Pg); eno=sqrt(Po*R1); pg1=(10^(1.4)); pg2=(10^(20)); NR=(NR1+((NR2-1)/pg1)+((NR2-1)/(pg1*pg2))); NF=10*log10(NR); No=(NR*Pn*Pg); a=sqrt(No*R1); //part(a) printf("\ndelta(f)= (pi/2)*BW = %.f Hz",df);//effective noise bandwidth printf("\nPn = k.T.delta(f) = %.17f W",Pn);// at the input printf("\nen=sqrt(4.k.T.delta(f).R) = %.8f V",en);//Voltage printf("\nTpg = 14dB+20dB+20dB = %.f dB",x);//total power gain in decibels printf("\n54dB = 10logPG \nPG = %.f",Pg);//total power gain printf("\nPn(out) = Pn(in).PG = %.12f W",Po);//assuming perfect noiseless amplifiers printf("\nen(out)= %.6f V",eno);//output driven by 300 Ohm load & P=V^2/R //part(b) printf("\nPG1=14dB = 25.1 \nPG2=PG3= 20dB =100 \nNF1= 3dB \nNR1=2 \nNF2=NF3=8dB \nNR2=NR3=6.31"); printf("\nNR=NR1+(NR2-1/PG1)+....+(NRn-1/PG1.PG2...PG(n-1))");//friiss's formula printf("\nNR = %.3f",NR);//noise ratio printf("\nNF = %.2f dB",NF);//noise figure //part(c) printf("\nNR = (Si/Ni)/(So/No) \nPG = %.1f*10^5",pg1); printf("\nNR = No/(Ni*PG) \nNo = %.12f W",No); printf("\nNo = (en^2)/R \nen= %.6f V",a);//outputnoise voltage
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//page 161 //Example 5.8 clc; clear; close; A = [1 2;3 4]; disp(A,'A = '); d = det(A); disp(d,'det A = ','Determinant of A is:'); ad = (det(A) * eye(2,2)) / A; disp(ad,'adj A = ','Adjoint of A is:'); disp('Thus, A is not invertible as a matrix over the ring of integers.'); disp('But, A can be regarded as a matrix over field of rational numbers.'); in = inv(A); //The A inverse matrix given in book has a wrong entry of 1/2. It should be -1/2. disp(in,'inv(A) = ','Then, A is invertible and Inverse of A is:'); //end
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//example 3.6 clc; funcprot(0); // Initialization of Variable Ip=3; f=100000; I=Ip/3^.5; disp(I,"rms current in A") clear()
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clear //Given I=2.4 A=0.30*10**-6 m=9.1*10**-31 n=8.4*10**28 e=1.6*10**-19 E=7.5 //Calculation J=I/A t=m*J/(n*e**2*E) //Result printf("\n Average relaxation time is %0.2f *10**-16 S",t*10**16)
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filternew.sci
function filternew(pic,RGB,tp1,winSize1,winSize2,sigma,path) //****************************************************** //code developed by: L.N.Eeti,Research Assistant,CSRE. //Date:25-02-2011 //input name of any filter shall exactly match as given under //Gaussian filter/Lee filter/Average(Mean) filter/Median filter/Circular //filter //contents of param.txt // %filter name e.g. Median filter // %window size1(rows) e.g. 3 // %windoe size2(cols) e.g. 5 // %test image name e.g. inputimage // %sigma value(for gaussian)/k value(sigma filter/LEE filter) **sigma=[0.5 3]; // %**k=[1 2] (for sigma filter) // %**k=[0 1) (for lee filter) //%contents of RGB.txt: band numbers e.g. 4 3 2 //% outputs: histogram of each band before and after filtering;a filtered image //%*********************************************************** stacksize('max'); mode(-1); tp11=ascii(part(tp1,1)); tp12=ascii(part(tp1,3)); [img,RbandVal,GbandVal,BbandVal] = imgdisplay1(pic,RGB,path); bnd=[RbandVal, GbandVal, BbandVal]; [r,c,b]=size(img); img=double(img); fil_img = zeros(r,c,b); filImg = zeros(r,c,b); if (tp11==65) //average filter out_fname = path+'FilteredImage.jpg'; F=ones(winSize1,winSize2)/winSize1/winSize2; F=double(F); for i=1:b fil_img(:,:,i)=conv2(img(:,:,i),F,"same"); end elseif isequal(tp11,67) //circular filter out_fname = path+'FilteredImage.jpg'; p2=floor(sqrt(winSize1*winSize2)); F=circularfilter(p2); for i=1:b fil_img(:,:,i)=conv2(img(:,:,i),F,"same"); end elseif isequal(tp11,71) //gaussian filter out_fname = path+'FilteredImage.jpg'; w=[winSize1,winSize2]; F=fspecial('gaussian',w,sigma); for i=1:b fil_img(:,:,i)=conv2(img(:,:,i),F,"same"); end elseif isequal(tp11,76)//lee filter out_fname = path+'FilteredImage.jpg'; var1=sigma; siz=[winSize1 winSize2]; win_centre=floor(([winSize1 winSize2]+1)/2); u=win_centre-1; img1= zeros(r+2*u(1,1),c+2*u(1,2),b); for i=1:b img1(:,:,i)=padding(img(:,:,i),[u(1,1) u(1,2)]); end fil_img= leefilter(img1,siz,var1,win_centre); elseif (isequal(tp11,77) & isequal(tp12,101))//median filter out_fname = path+'FilteredImage.jpg'; for i=1:b fil_img(:,:,i)=medfilt2(img(:,:,i),[winSize1 winSize2]); end elseif isequal(tp11,83) //sigma filter out_fname = path+'FilteredImage.jpg'; var1=sigma; win_centre=floor(([winSize1 winSize2]+1)/2); u=win_centre-1; siz=[winSize1 winSize2]; img1= zeros(r+2*u(1,1),c+2*u(1,2),b); for i=1:b img1(:,:,i)=padding(img(:,:,i),[u(1,1) u(1,2)]); end fil_img= sigmafilter(img1,siz,var1); elseif isequal(tp11,77) & isequal(tp12,111) //mode filter out_fname=path+'FilteredImage.jpg'; win_centre=floor(([winSize1 winSize2]+1)/2); u=win_centre-1; img1= zeros(r+2*u(1,1),c+2*u(1,2),b); for i=1:b img1(:,:,i)=padding(img(:,:,i),[u(1,1) u(1,2)]); end for j = 1:r - winSize1 + 1 for i = 1:c - winSize2 + 1 win = double(img1(j:j + winSize1 - 1, i:i + winSize2 - 1, :)); for k=1:b x_mode=modefilter(win(:,:,k)); fil_img(((2*j+winSize1-1)/2)-1,((2*i+winSize2-1)/2)-1,k)=x_mode; end end end elseif isequal(tp11,87)//weighted average filter out_fname=path+'FilteredImage.jpg'; COF="COF.txt"; kern1=getcof(COF); [m,n]=size(kern1); coff_sum=sum(sum(kern1)); if (coff_sum >1) kern1=kern1./ coff_sum; end if (b>1) kern=zeros(m,n,3); for i=1:b kern(:,:,i)=kern1; end end siz=[winSize1 winSize2]; win_centre=floor(([winSize1 winSize2]+1)/2); u=win_centre-1; img1= zeros(r+2*u(1,1),c+2*u(1,2),b); for i=1:b img1(:,:,i)=padding(img(:,:,i),[u(1,1) u(1,2)]); end fil_img=weightavgfilter(img1,siz,kern); end for i=1:size(filImg,3) minPxlVal = min(min(fil_img(:,:,i))); maxPxlVal = max(max(fil_img(:,:,i))); maxmin = 1/(maxPxlVal - minPxlVal); filImg(:,:,i) = 255*((fil_img(:,:,i)-minPxlVal).*maxmin); end filImg=uint8(filImg); imwrite(filImg,out_fname); //Histogram start if (isequal(RbandVal,GbandVal) & isequal(GbandVal,BbandVal)) then for k=1:256 h(k)=length(find(filImg(:,:,1)==(k-1))); end scf(1); plot2d3('gnn',[1:256],h); xlabel("Gray value","color","red"); ylabel("Number of pixels","color","red"); title('Histogram of band '+string(RbandVal)+' of '+pic+' AFTER '+tp1+' smoothening ','color','red'); xs2jpg(gcf(),path+"out_hist_afterfilter '+string(RbandVal)+'.jpg"); xdel(winsid()); else for i=1:b for k=1:256 h(k)=length(find(filImg(:,:,i)==(k-1))); end scf(1); plot2d3('gnn',[1:256],h); xlabel("Gray value","color","red"); ylabel("Number of pixels","color","red"); title("Histogram of band "+string(bnd(i))+" of '+pic+' AFTER '+tp1+' smoothening ',"color","red"); xs2jpg(gcf(),path+"out_hist_afterfilter band "+string(bnd(i))+".jpg"); xdel(winsid()); end end endfunction
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//pathname=get_absolute_file_path('11.17.sce') //filename=pathname+filesep()+'11.17-data.sci' //exec(filename) //Pressure at which steam is generated(in bar): p=20 //Temperature at which steam is generated(in C): Ts=300 //Temperature of feed water supplied to the boiler(in C): T1=50 //Calorific value of fuel(in kJ/kg): C=30000 //Rate at which coal is used(in kg/hr): r=600 //Rate at which steam is generated(in kg/hr): r1=5000 //Temperature of the boiler unit(in C): T=100 //Latent heat(in kJ/kg.K): L=2257 //Steam generation per unit coal burnt per hour: ms=r1/r //Final enthalpy of the steam(in kJ/kg): hfi=3023.5 //Enthalpy of feed water(in kJ/kg): hfw=209.33 //Overall efficiency of boiler: no=ms*(hfi-hfw)/C*100 //Equivalent evaporation of boiler unit(in kg steam per kg of coal): Ee=ms*(hfi-hfw)/L //Equivalent evaporation of boiler unit at 100 C(in kg/hr): Eea=Ee*r //After fitting economiser the enthalp of feed water(in kJ/kg): hfw1=313.93 //Modified overall efficiency of boiler unit: nom=no+5 //Coal consumption(in kg/hr): mc=(hfi-hfw1)*r1*100/(C*nom) //Saving of coal(in kg/hr): s=r-mc printf("\n RESULT \n") printf("\nSaving of coal = %f kg/hr",s)
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clc;funcprot(0);//EXAMPLE 17.4 // Initialisation of Variables rho1=0.95;...........//Density of polyethylene in g/cm^3 rho2=2.4;...........//Density of clay in g/cm^3 f1=0.65;...............//Volume fraction of Polyethylene f2=0.35;...............//Volume fraction of Clay f3=1.67;.............//Volume fraction of polyethylene after sacrifice f4=1.06;.............//Volume fraction of Clay after sacrifice pa1=650;............// No. of parts of polyethylene in 1000cm^3 composite in cm^3 pa2=350;............// No. of parts of clay in 1000cm^3 composite in cm^3 //Calculations pa3=(pa1*rho1)/454;.........//No. of parts of Polyethylene in 1000cm^3 composite in lb pa4=(pa2*rho2)/454;.........//No. of parts of clay in 1000cm^3 composite in lb co1=pa3* 0.05;................//Cost of material Polyethylenein Dollars co2=pa4* 0.05;................//Cost of materials clay in Dollars c0=co1+co2;...................//Cost of materials in Dollars rho3=(f1*rho1)+(f2*rho2);.........//Composite density in g/cm^3 co3=f3* 0.05;................//Cost of material polyethylene after savings in Dollars co4=f4* 0.05;................//Cost of material clay after savings in Dollars c1=co3+co4;.................//Cost of materials after savings in Dollars rho4=(0.8*rho1)+(0.2*rho2);..............//Density of composite after saving in g/cm^3 disp(rho3,"Composite density in g/cm^3:") disp(rho4,"Composite densityafter saving in g/cm^3:")
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return_bool_false_from_void.tst
void main() { bool var = false; if(var) { return 0; } else { return 1; } }
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clc //initialization of varaibles T1=85+460 //R T2=50+460 //R //calculations eta=(T1-T2)/T1 //results printf("Max. efficiency = %.1f percent",eta*100)
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Ex1_3.sce
//Example 1_3 page no:42 clc; //given armature_resitance = 0.086//in ohm fl_arm_current = 150; volt = 220; power = 30;//in kiloWatt ini_brk_current = 200; full_ld_speed = 535;// in rev/min back_emf = volt - (fl_arm_current * armature_resitance); tot_volt = volt + back_emf; resistance_req = tot_volt / ini_brk_current; res_added = resistance_req - armature_resitance; disp(res_added,"the resistance to be added is (in ohm)"); full_ld_torque = (power*1000*60)/(%pi*2*full_ld_speed); ini_brk_torque = full_ld_torque * ini_brk_current / fl_arm_current; back_emf = 208/2;//back emf at half speed current = (volt + back_emf)/resistance_req; ele_brk_torque = full_ld_torque * current / fl_arm_current; disp(ele_brk_torque,"Electric braking torque at half speed is (in Nm)"); //the value vary slightly with textbook hence values are rounded off in text book
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SSSeSourceData.sci
// The code was developed under Horizon2020 Framework Programme // Project: 748767 — SIMFREE function OUT=SSSeSourceData(Amplitude,OffsetBit,DutyCycle,Sequence_Hex) // Generates binary pseudorandom sequence // // Calling Sequence // OUT=SSSeSourceData(Amplitude,OffsetBit,DutyCycle,Sequence_Hex) // // Parameters // Amplitude : Difference between '1' and '0' levels // OffsetBit : Value of '0' level // DutyCycle : The fraction of a bit-period that is 'high' for l's // Sequence_Hex : User defined bit sequence in Hex. This is read bit-wise from left to right. // OUT : Electrical Output // Description // Generates a user defined binary (cyclic) sequence. // The Sequence_Hex is set in a string as a Hexadecimal code word. // The sequence must be an integer power of two long and will be cyclic. // The bit-rate and code length are set in the SSSconfig component. // If the user does not wire his own Sequence_Hex then default (pseudorandom) sequence is chosen depending on the value of m set at the SSSconfig. // global MNT MNS; [lhs,rhs]=argn(0); select rhs case 0 then Amplitude=1; OffsetBit=0; DutyCycle=1; Sequence_Hex=""; case 1 then OffsetBit=0; DutyCycle=1; Sequence_Hex=""; case 2 then DutyCycle=1; Sequence_Hex=""; case 3 then Sequence_Hex=""; end function x=hex2bin4(x) for i=0:15 x=strsubst(x,dec2hex(i),dec2bin(i,4)); end x=strsplit(x)'; x=bin2dec(x); endfunction if isempty(Sequence_Hex) then select log2(round(MNS)) case 0 then; x=1; case 1 then; x=[1 0]; case 2 then; x=hex2bin4("3"); case 3 then; x=hex2bin4("17"); case 4 then; x=hex2bin4("09AF"); case 5 then; x=hex2bin4("04B3E375"); case 6 then; x=hex2bin4("0218A7A392DD9ABF"); case 7 then; x=hex2bin4("0106147916753E87126D6F634BB9957F"); case 8 then; x=hex2bin4("008E25C0C93720ADACB0FB7AE886C79CC5A452A7767BF4CD460EABE509FE178D"); case 9 then; x=hex2bin4("0042309CAB0DE9B9142B4FD925BF26A6603194697F458EB2CF1F741ADBB05AFAA814AF2EE073A4F5D448670BDB343BC3FE0F7C5CC8253B479F362A471B571311"); case 10 then; x=hex2bin4("002048832684A87AEB6C0306CC2B5C6FC479EDA0285AA3EF25826451B703C77F218B74356796C8224C0B14ECE2FD45DAC336A0E9E9A9383E737A2ADF09D1D7DA4214AC73FB08D393C37631EFA4A068CBA5A22CD291876F05CAE77733ABBD944D8872F94CCAA7E635E6B4C4B85EAAFF4152F15EEA6E471FF80E1FB89F19F59649"); end else x=hex2bin4(Sequence_Hex); end if DutyCycle <0 then DutyCycle=0; end; if DutyCycle >1 then DutyCycle=1; end; d=MNT/MNS; OUT=matrix([repmat(x,round(DutyCycle*d),1), zeros(MNS,round((1-DutyCycle)*d))],MNT,1); OUT=Amplitude*OUT+OffsetBit; endfunction
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gpeche.sci
function [xk,ukp1]=gpeche(uk,pasg) // pour une loi de commande uk // calcule la trajectoire associee xk // imprime le valeur du cout // calcule une nouvelle valeur de commande //! [xk,pk]=equad(uk); tk=(1/(npts-1))*(0:(npts-1)); xset("window",1) if xget("window")=0 , xinit('unix:0.0'),xset("window",1),end plot2d(tk',uk',[1,-1],"121","commande"); x0=30; gcout = sum( uk.*xk-c*uk); ppenco= gcout-ppen*(xk(npts)-x0)**2; write(%io(2),gcout,'('' gain '',f7.2)') write(%io(2),ppenco,'('' gain-penalise '',f7.2)') grad = xk-c*ones(xk) - pk.*xk //gradient projete su [0,umax] umax=10; ukp1=maxi(mini(uk- pasg*grad,umax*ones(1,npts)),0*ones(1,npts)); function [ut]=peche(t) //[ut]=peche(t) // la loi de commande u(t) constante par morceaux // construite sur la loi de comande discrete uk //! [n1,n2]=size(uk); ut=uk(mini(maxi(ent(t*npts),1),n2)); function [pdot]=pechep(t,p) //[pdot]=pechep(t,p) //equation adjointe //! pdot=-p*(10*( 1 -2*traj(t)/K) - peche(t)) - peche(t)
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//Example 5.3.3 page 5.8; clc; clear; Ps= 5; Lcoupling = 3; Lc= 2; L_splicing = 50*0.1; F_atten = 25; L_total = Lcoupling+Lc+L_splicing+F_atten; P_avail = Ps-L_total; sensitivity = -40; loss_margin = -sensitivity-(-P_avail); printf("The loss margin of the system is -%d dBm",loss_margin); sensitivity_fet = -32; loss_margin_fet=-sensitivity_fet-(-P_avail); printf("\n\nThe loss marging for the FET receiver is -%d dBm",loss_margin_fet);
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//example 6.6 clc; funcprot(0); clf() // Initialization of Variable Vol=0.7; Iol=40.0/1000;//current Epullup=28.0; Rpullup=(Epullup-Vol)/Iol; disp(Rpullup,"resistance in ohm") printf('pick up resistance=680 ohm'); Rpullup=680.0; C=640; trise=2.2*Rpullup*C; disp(trise/1000,"rise time in ns"); //for plotting x=[0 .1 1.9 4.1 5 5.1 5.3 5.6 6 9.3]; y=[27.8 .1 .1 .1 .1 5 13.5 21 27 27.8]; plot(x,y); xtitle('Vout vs time','time(mus)','Vout') clear()
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moc_ismember.sci
function [tf, a_idx] = moc_ismember (a, s, rows_opt) //Checks which elements of one matrix are member of an other matrix //Calling Sequence //tf = moc_ismember (A, S) //[tf,S_idx] = moc_ismember (A, S) //[tf,S_idx] = moc_ismember (A, S,'rows') // // Description // Return a matrix tf with the same shape as A which has a 1 if // A(i,j) is in S and 0 if it is not. If a second output argument // is requested, the index into S of each of the matching elements is // also returned. // // With the optional third argument "rows", and matrices // A and S with the same number of columns, compare rows in // A with the rows in S. // // Examples // a = [3, 10, 1]; // s = [0:9]; // [tf, s_idx] = moc_ismember (a, s) // // a = [1:3; 5:7; 4:6]; // s = [0:2; 1:3; 2:4; 3:5; 4:6]; // [tf, s_idx] = moc_ismember(a, s, 'rows') // Authors // Paul Kienzle pkienzle@users.sf.net // Søren Hauberg hauberg@gmail.com // Ben Abbott bpabbott@mac.com // jwe // H. Nahrstaedt - 2011 - 2013 // Copyright (C) 2000, 2005, 2006, 2007, 2008, 2009 Paul Kienzle // // This file is part of Octave. // // Octave is free software; you can redistribute it and/or modify it // under the terms of the GNU General Public License as published by // the Free Software Foundation; either version 3 of the License, or (at // your option) any later version. // // Octave is distributed in the hope that it will be useful, but // WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU // General Public License for more details. // // You should have received a copy of the GNU General Public License // along with Octave; see the file COPYING. If not, see // <http://www.gnu.org/licenses/>. [nargout,nargin]=argn(0); if (nargin == 2 | nargin == 3) if (iscell (a) | iscell (s)) error ("moc_ismember: a and must not be cells!"); else if (nargin == 3) // The 'rows' argument is handled in a fairly ugly way. A better // solution would be to vectorize this loop over 'r' below. if ( (rows_opt== "rows") & min(size (a))>1 & min(size (s))>1 & size (a,2) == size (s,2)) rs = size (s,1); ra = size (a,1); a_idx = zeros (ra, 1); for r = 1:ra tmp = ones (rs, 1) * a(r,:); f = find (and (tmp' == s',1), 1); if ( ~isempty (f)) a_idx(r) = f; end end tf = (a_idx)~=0; elseif ( (rows_opt== "rows")) error ("moc_ismember: with rows both sets must be matrices with an equal number of columns"); else error ("moc_ismember: invalid input"); end else // Input checking if (~type(a)==type(s)) error ("moc_ismember: both input arguments must be the same type"); elseif ( ~type (a)==10 & ~or(type(a)==[1 5 8]) ) error ("moc_ismember: input arguments must be arrays, cell arrays, or strings"); elseif (type (a)==10 & type(s)==10) a = ascii (a); s = ascii (s); end // Convert matrices to vectors. if (and (size (a) > 1)) a = a(:); end if (and (size (s) > 1)) s = s(:); end // Do the actual work. if (isempty (a) | isempty (s)) tf = zeros (size (a,1),size(a,2))~=0; a_idx = zeros (size (a,1),size(a,2)); elseif (length (s) == 1) tf = (a == s); a_idx = double (tf); elseif (length (a) == 1) f = find (a == s, 1); tf = ~isempty (f); a_idx = f; if (isempty (a_idx)) a_idx = 0; end else // Magic: the following code determines for each a, the index i // such that s(i)<= a < s(i+1). It does this by sorting the a // into s and remembering the source index where each element came // from. Since all the a's originally came after all the s's, if // the source index is less than the length of s, then the element // came from s. We can then do a cumulative sum on the indices to // figure out which element of s each a comes after. // E.g., s=[2 4 6], a=[1 2 3 4 5 6 7] // unsorted [s a] = [ 2 4 6 1 2 3 4 5 6 7 ] // sorted [s a] = [ 1 2 2 3 4 4 5 6 6 7 ] // source index p = [ 4 1 5 6 2 7 8 3 9 10 ] // boolean p<=l(s) = [ 0 1 0 0 1 0 0 1 0 0 ] // cumsum(p<=l(s)) = [ 0 1 1 1 2 2 2 3 3 3 ] // Note that this leaves a(1) coming after s(0) which doesn't // exist. So arbitrarily, we will dump all elements less than // s(1) into the interval after s(1). We do this by dropping s(1) // from the sort! E.g., s=[2 4 6], a=[1 2 3 4 5 6 7] // unsorted [s(2:3) a] =[4 6 1 2 3 4 5 6 7 ] // sorted [s(2:3) a] = [ 1 2 3 4 4 5 6 6 7 ] // source index p = [ 3 4 5 1 6 7 2 8 9 ] // boolean p<=l(s)-1 = [ 0 0 0 1 0 0 1 0 0 ] // cumsum(p<=l(s)-1) = [ 0 0 0 1 1 1 2 2 2 ] // Now we can use Octave's lvalue indexing to "invert" the sort, // and assign all these indices back to the appropriate a and s, // giving s_idx = [ -- 1 2], a_idx = [ 0 0 0 1 1 2 2 ]. Add 1 to // a_idx, and we know which interval s(i) contains a. It is // easy to now check membership by comparing s(a_idx) == a. This // magic works because s starts out sorted, and because sort // preserves the relative order of identical elements. lt = max(size(s)); [s, sidx] = mtlb_sort (s); tmp=s(2:lt); [v, p] = mtlb_sort ([tmp(:); a(:)]); idx(p) = cumsum (p <= lt-1) + 1; idx = idx(lt:$); tf = (a == matrix (s(idx), size (a))); a_idx = zeros (size (tf,1),size(tf,2)); a_idx(tf) = sidx(idx(tf)); end // Resize result to the original size of 'a' size_a = size (a); tf = matrix (tf, size_a); a_idx = matrix (a_idx, size_a); end end else error ("wrong usage"); end endfunction //!assert (ismember ({''}, {'abc', 'def'}), false); //!assert (ismember ('abc', {'abc', 'def'}), true); //!assert (isempty (ismember ([], [1, 2])), true); //!assert (isempty (ismember ({}, {'a', 'b'})), true); //!assert (ismember ('', {'abc', 'def'}), false); //!fail ('ismember ([], {1, 2})'); //!fail ('ismember ({[]}, {1, 2})'); //!fail ('ismember ({}, {1, 2})'); //!fail ('ismember ({1}, {''1'', ''2''})'); //!fail ('ismember (1, ''abc'')'); //!fail ('ismember ({''1''}, {''1'', ''2''},''rows'')'); //!fail ('ismember ([1 2 3], [5 4 3 1], ''rows'')'); //!assert (ismember ({'foo', 'bar'}, {'foobar'}), logical ([0, 0])); //!assert (ismember ({'foo'}, {'foobar'}), false); //!assert (ismember ({'bar'}, {'foobar'}), false); //!assert (ismember ({'bar'}, {'foobar', 'bar'}), true); //!assert (ismember ({'foo', 'bar'}, {'foobar', 'bar'}), logical ([0, 1])); //!assert (ismember ({'xfb', 'f', 'b'}, {'fb', 'b'}), logical ([0, 0, 1])); //!assert (ismember ("1", "0123456789."), true); //!test //! [result, a_idx] = ismember ([1, 2], []); //! assert (result, logical ([0, 0])) //! assert (a_idx, [0, 0]); //!test //! [result, a_idx] = ismember ([], [1, 2]); //! assert (result, logical ([])) //! assert (a_idx, []); //!test //! [result, a_idx] = ismember ({'a', 'b'}, ''); //! assert (result, logical ([0, 0])) //! assert (a_idx, [0, 0]); //!test //! [result, a_idx] = ismember ({'a', 'b'}, {}); //! assert (result, logical ([0, 0])) //! assert (a_idx, [0, 0]); //!test //! [result, a_idx] = ismember ('', {'a', 'b'}); //! assert (result, false) //! assert (a_idx, 0); //!test //! [result, a_idx] = ismember ({}, {'a', 'b'}); //! assert (result, logical ([])) //! assert (a_idx, []); //!test //! [result, a_idx] = ismember([1 2 3 4 5], [3]); //! assert (all (result == logical ([0 0 1 0 0])) && all (a_idx == [0 0 1 0 0])); //!test //! [result, a_idx] = ismember([1 6], [1 2 3 4 5 1 6 1]); //! assert (all (result == logical ([1 1])) && all (a_idx == [8 7])); //!test //! [result, a_idx] = ismember ([3,10,1], [0,1,2,3,4,5,6,7,8,9]); //! assert (all (result == logical ([1, 0, 1])) && all (a_idx == [4, 0, 2])); //!test //! [result, a_idx] = ismember ("1.1", "0123456789.1"); //! assert (all (result == logical ([1, 1, 1])) && all (a_idx == [12, 11, 12])); //!test //! [result, a_idx] = ismember([1:3; 5:7; 4:6], [0:2; 1:3; 2:4; 3:5; 4:6], 'rows'); //! assert (all (result == logical ([1; 0; 1])) && all (a_idx == [2; 0; 5])); //!test //! [result, a_idx] = ismember([1.1,1.2,1.3; 2.1,2.2,2.3; 10,11,12], [1.1,1.2,1.3; 10,11,12; 2.12,2.22,2.32], 'rows'); //! assert (all (result == logical ([1; 0; 1])) && all (a_idx == [1; 0; 2]));
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// A Texbook on POWER SYSTEM ENGINEERING // A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar // DHANPAT RAI & Co. // SECOND EDITION // PART II : TRANSMISSION AND DISTRIBUTION // CHAPTER 9: LOAD FLOW STUDY USING COMPUTER TECHNIQUES // EXAMPLE : 9.1 : // Page number 235-236 clear ; clc ; close ; // Clear the work space and console // Given data Z_L1 = complex(14.3,97) // Series impedance of line L1(ohm) Z_PL1 = complex(0,-3274) // Shunt impedance of line L1(ohm) Z_L2 = complex(7.13,48.6) // Series impedance of line L2(ohm) Z_PL2 = complex(0,-6547) // Shunt impedance of line L2(ohm) Z_L3 = complex(9.38,64) // Series impedance of line L3(ohm) Z_PL3 = complex(0,-4976) // Shunt impedance of line L3(ohm) // Calculations Y_S12 = 1.0/Z_L1 // Series admittance(mho) Y_P12 = 1.0/Z_PL1 // Shunt admittance(mho) Y_S23 = 1.0/Z_L3 // Series admittance(mho) Y_P23 = 1.0/Z_PL3 // Shunt admittance(mho) Y_S13 = 1.0/Z_L2 // Series admittance(mho) Y_P13 = 1.0/Z_PL2 // Shunt admittance(mho) Y_11 = Y_P12+Y_P13+Y_S12+Y_S13 // Admittance(mho) Y_12 = -Y_S12 // Admittance(mho) Y_13 = -Y_S13 // Admittance(mho) Y_21 = Y_12 // Admittance(mho) Y_22 = Y_P12+Y_P23+Y_S12+Y_S23 // Admittance(mho) Y_23 = -Y_S23 // Admittance(mho) Y_31 = Y_13 // Admittance(mho) Y_32 = Y_23 // Admittance(mho) Y_33 = Y_P13+Y_P23+Y_S23+Y_S13 // Admittance(mho) Y_bus = [[Y_11, Y_12, Y_13], [Y_21, Y_22, Y_23], [Y_31, Y_32, Y_33]] // Results disp("PART II - EXAMPLE : 9.1 : SOLUTION :-") printf("\n[Y_bus] = \n"); disp(Y_bus)
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function structuring_element = getStructuringElement(gettype, cols, rows, anchorX, anchorY) structuring_element = opencv_getStructuringElement(gettype, cols, rows, anchorX, anchorY) endfunction
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// chapter 9 // example 9.6 // find intrinsic concuctivity and doping conductivity // page 274 clear; clc; // given ni=1.5E16; // in /m^3 (intrinsic carrier density) ue=0.13; // in m^2/(V-s) (electron mobilities) uh=0.05; // in m^2/(V-s) (hole mobilities) e=1.6E-19; // in C (charge of electron) ne=5E20; // in /m^3 (concentration of donor type impurity) nh=5E20; // in /m^3 (concentration of acceptor type impurity) // calculate // part-i sigma=ni*e*(ue+uh); // calculation of intrinsic conductivity printf('\nThe intrinsic conductivity for silicon is %1.2E (ohm-m)^-1',sigma); // part-ii // since 1 donor atom is in 1E8 Si atoms, hence holes concentration can be neglected sigma=ne*e*ue; // calculation of conductivity after doping with donor type impurity printf('\n\nThe conductivity after doping with donor type impurity is %.1f (ohm-m)^-1',sigma); // part-iii // since 1 acceptor atom is in 1E8 Si atoms, hence electron concentration can be neglected sigma=nh*e*uh; // calculation of conductivity after doping with acceptor type impurity printf('\n\nThe conductivity after doping with acceptor type impurity is %.f (ohm-m)^-1',sigma); // Note: In question the value of ne and nh has been misprinted as 5E28 atoms/m^3 which is too big but the solution has used the correct value 5E20 atoms/m^3. I have also used this value.
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//EXAMPLE 2-70 PG NO-110-111 ZA=-%i*227.36; //IMPEDANCE ZB=-%i*795.77; //IMPEDANCE ZC=500; //IMPEDANCE V=230+%i*0; //VOLTAGE IA=V/ZA; //CURRENT disp('i) CURRENT (IA) is in polar form = '+string (IA) +' A '); IB=V/ZB; disp('i) CURRENT (IB) is in polar form = '+string (IB) +' A '); IC=V/ZC; disp('i) CURRENT (IC) is in polar form = '+string (IC) +' A '); I=IA+IB+IC; disp('i) CURRENT (I) is in polar form = '+string (I) +' A '); P=V*I*0.334; disp('i) POWER (P) is in polar form = '+string (P) +' W '); Z=V/I; disp('vi) IMPEDANCE (Z) is = '+string (Z) +' ohm ');
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//Example 1.4 // loading in kW and efficiency of the tank clc; clear; close; format('v',5) a=6;//area in m^2 l=a/6;//one side of tank in meter V=l*l*l;//volume in m^2 e=90/100;//capacity wh=6*e*1000;//water to be heated daily in kg s=4200;//specific heat of water in J/Kg/degree celsius t1=65;//in degree celsius t2=20;//in degree celsius hr=wh*s*(t1-t2)*10^-6;//heat required to raise the temperture of water hr1=hr/3.6;//heat required in kWh d=6.3;//difference in watts l=((d*a*(t1-t2)*24)/1000);//losses from the surface of the tank in kWh es=hr1+l;//energy supplied in kWh lk=es/24;//loading in kW ef=(hr1/es)*100;//efficiency of the tank in percentage disp(lk,"loading in kW") disp(ef,"efficiency of the tank in percentage")
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//exmaple2.28 clc disp("P=6, A=2 as wave, Z=492, psi=30 mWb, I_a=40 A") disp("T=(psi*P*Z*I_a)/(2*pi*A) Nm") t=(40*6*492*30*10^-3)/(2*%pi*2) format(9) disp(t,"Therefore, T(in Nm)=") disp("as 1N=(1/9.81)kg") t=281.8952/9.81 format(8) disp(t,"Therefore, T(in kgm)=")
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Nd = 10^16; //in per cm cube p = 10^18; //in per cm cube Na = 10^18; //in per cm cube Nc = 2.8 * 10^19; //in per cm cube Nv = 10^19; //in per cm cube kT = 26*10^-3; //in eV eps0 = 8.84*10^-12; //in F/m eps = 11.9*eps0; Eg = 1.1; //in eV q = 1.6*10^-19; En = kT*log(Nd/Nc); disp(En,"The Fermi level positions in the n-region relative to the conduction band (in eV) = ") Ep = -kT*log(p/Nv); disp(Ep,"The Fermi level positions in the p-region relative to the valence band (in eV) = ") Vbi = Eg + En - Ep; disp(Vbi,"built-in potential = ") Wp = (2*eps*Vbi*Nd/(q*Na*10^6*(Na+Nd)))^0.5; disp(Wp,"depletion width on the p-side (in m) = ")
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clear // // // //Variable declaration epsilonr=4.94; //dielectric constant n2=2.69; //Calculations x=(epsilonr-1)/(epsilonr+2); y=(n2-1)/(n2+2); alpha=1/((x/y)-1); //ratio between electronic and ionic polarizability //Result printf("\n ratio between electronic and ionic polarizability is %0.3f ",alpha)
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//check o/p for a matrix i/p r=[0.0455;0.0705;0.0888;0.1144;0.1194;0.1144;0.0888;0.0705;0.0455]; k = schurrc(r(5:$)); disp(k); //output
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function [r]=%rns(l1,l2) //%rns(l1,l2) <=> l1<>l2 rational<>constant r=degree(l1(2))==0&degree(l1(3))==0 if r then r=coeff(l1(2))./coeff(l1(3))==l2,end r=~r
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//Example 7.3// voltage and current clc; clear; close; l=0.2;//length meter w=0.1;//width in meter th=25;//thickness in mm vw=l*w*th*10^-3;//volume of wood in m^3 ww=600;//weight of wood in kg/m^3 ww1=vw*ww;//weight of wood kg shw=1500;//specific heat of wood in J/kg/degree celsius t=200;//temperature in degree celsius rg=t*shw*ww1;//energy in joules h=(rg/(3.6*10^3));//Wh t=15;//time in minutes pr=h*(60/t);//power required in Watt eo=8.854*10^-12;//permittivity constant er=5;//permittivity of wood c=((eo*er*l*w)/(th*10^-3));//capacitance in Farads f=50;//frequency in MHz pf=0.5;//power factor ph=acosd(pf);//phase angle degree v=sqrt((pr)/(c*2*%pi*f*10^6*0.05));//voltage in volts disp(round(v),"voltage is ,(V)=") ic=v*2*%pi*f*10^6*c;//current in amperes disp(ic,"current is,(A)=")
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//Fiber-optics communication technology, by Djafer K. Mynbaev and Lowell L. Scheiner //Example 10.4.1 //windows 7 //Scilab version-6.0.0 clc; clear ; //given //case 1 R=0.035;//Reflectivity for the air-silica interface NAt=0.275;//Typical Numerical Aperture in a GI multimode fiber D=1;//Ratio of the diameter of the fiber core to the diameter of the source X=2*(D^2); Y=1-1/X; ETAcgi=(NAt^2)*Y;//The amount of light coupling in a GI multimode fiber mprintf("The amount of light coupling in a GI multimode fiber is = %.3f",ETAcgi); //case 2 NAt2=0.13;//Typical Numerical Aperture in a SI singlemode fiber EATcsi=NAt2^2;//The amount of light coupling in a SI singlemode fiber mprintf("\nThe amount of light coupling in a SI singlemode fiber is = %.3f",EATcsi); //the answers vary due to rounding
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krisbimantara/Image-Processing-SCILAB
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2021-03-29T13:30:26
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clear;clc;clear; a=imread('bima1.jpg'); a=double(a); r=size(a,1); c=size(a,2); d0=50; for u=1:1:r for v=1:1:c d=(((u-(r/2))^2)+((v-(c/2))^2))^0.5; dd=d*d; h(u,v)=exp(-dd/(2*d0*d0)); end end //merah me=a(:,:,1); bme=fft2(me); cme=fftshift(bme); c1me=uint16(cme); newme=cme.*h; new2me=uint16(newme); new1me=abs(fft(newme,1)); //hijau hi=a(:,:,2); bhi=fft2(hi); chi=fftshift(bhi); c1hi=uint16(chi); newhi=chi.*h; new2hi=uint16(newhi); new1hi=abs(fft(newhi,1)); //biru bi=a(:,:,3); bbi=fft2(bi); cbi=fftshift(bbi); c1bi=uint16(cbi); newbi=cbi.*h; new2bi=uint16(newbi); new1bi=abs(fft(newbi,1)); figure(); subplot(321);imshow(uint8(cat(3, me, zeros(hi), zeros(bi))));xtitle('Lapisan Merah'); subplot(322);imshow(uint8(cat(3, new1me, zeros(new1hi), zeros(new1bi))));xtitle(['Filtered Image with radius = 50']); subplot(323);imshow(uint8(cat(3, zeros(me), hi, zeros(bi))));xtitle('Lapisan Hijau'); subplot(324);imshow(uint8(cat(3, zeros(new1me), new1hi, zeros(new1bi))));xtitle(['Filtered Image with radius = 50']); subplot(325);imshow(uint8(cat(3, zeros(me), zeros(hi), bi)));xtitle('Lapisan Biru'); subplot(326);imshow(uint8(cat(3, zeros(new1me), zeros(new1hi), new1bi)));xtitle(['Filtered Image with radius = 50']); figure(); subplot(121);imshow(uint8(cat(3,me,hi,bi)));xtitle('Gambar Asli') subplot(122);imshow(uint8(cat(3,new1me,new1hi,new1bi)));xtitle(['Filtered Image with radius = 50']); figure(); surf(h);xtitle('filter function response with radius = 50')
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kamleshm/intern_fuzzy
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2017-07-12T07:12:25
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FLInfoVal-TD-01.tst
-- Fuzzy Logix, LLC: Functional Testing Script for DB Lytix functions on Teradata -- -- Copyright (c): 2014 Fuzzy Logix, LLC -- -- NOTICE: All information contained herein is, and remains the property of Fuzzy Logix, LLC. -- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC. -- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade -- secret or copyright law. Dissemination of this information or reproduction of this material is -- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC. -- Functional Test Specifications: -- -- Test Category: Data Mining -- -- Test Unit Number: FLInfoVal-TD-01 -- -- Name(s): FLInfoVal -- -- Description: Calculates the information Values -- -- Applications: -- -- Signature: FLInfoVal(BinId BIGINT, -- Events BIGINT, -- NonEvents BIGINT, -- ReqdBinID BIGINT) -- -- Parameters: See Documentation -- -- Return value: Double Precision -- -- Last Updated: 04-07-2014 -- -- Author: <gandhari.sen@fuzzyl.com> -- -- BEGIN: TEST SCRIPT .run file=../PulsarLogOn.sql .set width 2500 SELECT a.BinID, a.Events, a.NonEvents FROM tblInfoVal a ORDER BY 1; --- CREATE test table DROP TABLE tblInfovalTest; CREATE TABLE tblInfovalTest ( BinID INTEGER, Events INTEGER, NonEvents INTEGER) PRIMARY INDEX ( BinID ); --populate the test table INSERT INTO tblInfovalTest SELECT a.* FROM tblInfoVal a; -- BEGIN: POSITIVE TEST(s) ---- Positive Test 1: ---Output : Good SELECT b.SerialVal - 1 AS BinID, FLInfoVal(a.BinID, a.Events, a.NonEvents, b.SerialVal - 1) AS InfoVal FROM tblInfoValTest a, fzzlSerial b WHERE b.SerialVal <= 6 GROUP BY b.SerialVal ORDER BY 1; -- PositiveTest 2 Param4 is 0 --- goes through and returns the cumulative infoval DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT * FROM tblInfoval; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 0) AS Infoval FROM tblInfoVal a; --PositiveTest case 3: constant BinID --Output --returns 0 good DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT 2, a.Events, a.NonEvents FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Positive Test case 4: dupilcate BinID s DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT CASE WHEN a.BinID =1 THEN 2 ELSE a.BinID END, a.Events, a.NonEvents FROM tblInfoVal a; SELECT * FROM tblInfoValTest ORDER BY 1; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 3) FROM tblInfoValTest a; --Positive test 5 --when one of the Bins doesnt start from 1 DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT * FROM tblInfoval WHERE BINID > 1; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 3) FROM tblInfoValTest a; -- END: POSITIVE TEST(s) -- BEGIN: NEGATIVE TEST(s) ---- Negative Test 1: No data --- Output Null, Good ---- Negative test DELETE FROM tblInfoValTest ALL; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Populate the test table --populate the test table INSERT INTO tblInfovalTest SELECT a.* FROM tblInfoVal a; --Negative test case 2: NULL arg#1 --Output NULL, Good SELECT FLInfoVal(NULL, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative test case 3: the column is not there in the input table --Output Error message, Good SELECT FLInfoVal(a.NonBinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative Test case 4: negative BinID --Output --Error message : --good DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT CASE WHEN a.BinID IN ( 5, 3,1 ) THEN -a.BinId ELSE a.BinID END, a.Events, a.NonEvents FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative test case 7 NULL arg#2 --Output NULL, Good SELECT FLInfoVal(a.BinID, NULL, a.NonEvents, 2) FROM tblInfoValTest a; --Negative test case 8: the column is not there in the input table --Output Error message, Good SELECT FLInfoVal(a.BinID, a.NotExistEvents, a.NonEvents, 2) FROM tblInfoValTest a; --Negative Test case 9: negative events --Output --Error message : DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT a.BinID, CASE WHEN a.BinID IN ( 5, 3,1 ) THEN -a.Events ELSE a.Events END, a.NonEvents FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative Test case 10: 0 events for all --Output --Error message DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT a.BinID, 0, a.NonEvents FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative Test case 11 : some BinIDs have 0 events --Output --Error message DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT a.BinID, CASE WHEN BinID IN (1,2 ,3) THEN 0 ELSE a.Events END, a.NonEvents FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative test case 12 :NULL arg#3 --Output NULL, Good SELECT FLInfoVal(a.BinID, a.Events,NULL, 2) FROM tblInfoValTest a; --Negative test case 13: the column is not there in the input table --Output Error message, Good SELECT FLInfoVal(a.BinID, a.Events, a.NotExistNonEvents, 2) FROM tblInfoValTest a; --Negative Test case 14: negative non events --Output --Error message : DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT a.BinID, a.Events, CASE WHEN a.BinID IN ( 5, 3,1 ) THEN -a.NonEvents ELSE a.NonEvents END FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative Test case 15: 0 non events for all --Output --Error message DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT a.BinID, a.Events, 0 FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative Test case 16 : some BinIDs have 0 nonevents --Output --Error message DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT a.BinID, a.Events, CASE WHEN BinID IN (1,2 ,3) THEN 0 ELSE a.NonEvents END FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 2) FROM tblInfoValTest a; --Negative Test case 17 ..Param 4 is NULL ----Output NULL, Good DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT * FROM tblInfoVal a; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, NULL ) FROM tblInfoValTest a; --Negative Test case 18 ..Param 4 is negative ----Output : FL generated error message , Good SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, -1) FROM tblInfoValTest a; ---- Negative Test 19: Param4 is out of range.i.e ReqdBinID value is greater than binInds in the table ----Output : FL generated error message , Good SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 6) FROM tblInfoVal a; --Negative Test 20 when one of the Bins are missing from the group DELETE FROM tblInfoValTest ALL; INSERT INTO tblInfoValTest SELECT * FROM tblInfoval WHERE BINID <>3; SELECT FLInfoVal(a.BinID, a.Events, a.NonEvents, 3) FROM tblInfoValTest a; -- END: NEGATIVE TEST(s) --Drop Test table DROP TABLE tblInfoValTest; -- END: TEST SCRIPT
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?> <TestCase> <Step> <EventId>e4</EventId> <ReachingStep>false</ReachingStep> </Step> <Step> <EventId>e65</EventId> <ReachingStep>false</ReachingStep> </Step> <Step> <EventId>e38</EventId> <ReachingStep>false</ReachingStep> </Step> <Step> <EventId>e60</EventId> <ReachingStep>false</ReachingStep> </Step> <Step> <EventId>e75</EventId> <ReachingStep>false</ReachingStep> </Step> <Step> <EventId>e39</EventId> <ReachingStep>false</ReachingStep> </Step> </TestCase>
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clear;close; function imCompressed = compress(imFullOneChannel, SingularValuesToKeep) [U, Sigma, V] = svd(imFullOneChannel); SingularValues = diag(Sigma) imCompressed = U(:, 1:SingularValuesToKeep)*diag(SingularValues(1:SingularValuesToKeep))*V(:, 1:SingularValuesToKeep)' endfunction im = imread('F:\Grand\Downloads\WhatsApp\LA\a4.jpg'); //imshow(im); imFull = double(im); imCompressed(:, :, 1) = compress(imFull(:, :, 1), 10); imCompressed(:, :, 2) = compress(imFull(:, :, 2), 10); imCompressed(:, :, 3) = compress(imFull(:, :, 3), 10); imCompressedFinal = uint8(imCompressed); imshow(imCompressedFinal)
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//Documentation by Keivalya Pandya //s -> inital variable (refer method) //term -> initial variable //fact -> initialisation(aka. flag) //x -> function input that is 0.3*%pi or 0.9424777... //ea = aka epsilon(a) s = 1.0 term = 1.0 fact = 1.0 x = 0.3*%pi for i = 2:2:50 fact = fact*i*(i-1); term = (-1)*term*x*x/fact; s = s + term; ea = term/s; disp(s, ea); if ea<0 then ea = -ea, end if ea < 0.000000005 then break, end end
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[3,2,1] | [1,1] = quot[0,1] = 1, remd = [[3],[2,1]], prod = [[0],[1,1]] quot[0,0] = 1, remd = [[3],[1], prod = [[1],[1] reduce: [[3],[2,1]] / [[1],[1] -> [[1],[1] rest [[2]] quot[1,0] = 1/2, remd = [[1],[1], prod = [[0],[1] quot[0,0] = 1/2, remd = [[1]], prod = [[1]] reduce: [[1],[1] / [[2]] -> [[1/2],[1/2] rest [[0]] reduced: [[2]] result: [[2]]
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//make a signal t=0:0.1:1000; x=3*sin(t)+8*sin(3*t)+0.5*sin(5*t)+3*rand(t); //compute the fft y=fft(x,-1); //display clf(); subplot(2,1,1);plot2d(abs(y)) subplot(2,1,2);plot2d(fftshift(abs(y))) //make a 2D image t=0:0.1:30; x=3*sin(t')*cos(2*t)+8*sin(3*t')*sin(5*t)+.. 0.5*sin(5*t')*sin(5*t)+3*rand(t')*rand(t); //compute the fft y=fft(x,-1); //display clf(); xset('colormap',hotcolormap(256)) subplot(2,1,1);Matplot(abs(y)) subplot(2,1,2);Matplot(fftshift(abs(y)))
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clear //Given R=2 //ohm R1=2.4 //ohm V=4 //V E=1.5 //Calculation R11=R+R1 I=V/R11 Vab=I*R K=Vab l=E/K //Result printf("\n Length for zero galvanometer deflection is %0.3f m", l)
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p1=14.7;//psi(abs) V1=1;//ft^3 V2=0.5;//ft^3
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//scilab 5.4.1 //Windows 7 operating system //chapter 9 Basic Voltage and Power Amplifiers clc clear V=10//V=voltage at frequency 5kHz Vr=7.07//Vr=voltage at frequency 25kHz //x=10*log10(P/Pr) where x=change in decibel(dB) of power P from some standard power Pr //P=V^2/R=I^2*R //Also Pr=Vr^2/R=Ir^2*R //x=10*(log10(V/Vr))^2=20*log10(V/Vr) x=20*log10(V/Vr)//x=change in decibel(dB) of voltage V from some standard voltage Vr format("v",4) disp("dB",x,"The decibel change in the output power level is =")
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//Page Number: 332 //Example 6.2 clc; //Given I0=20D-3; //A V0=4D+3; //V Z0=100; //ohm N=30; C=((I0*Z0)/(4*V0))^(1/3); //Gain Ap=-9.54+(47.3*C*N); disp('dB',Ap,'Gain:');
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//find a.)dia of fixing bolts,b.)dimension of arms clc //soltuion //given //refer fig 11.39 pi = %pi; W=10000//N q=60//deg f1=100//N/mm^2 t=60//N/mm^2 Wh=W*sin(%pi/3)//N printf("the horizontal component is,%f N\n",Wh) Wv=W*cos(pi/3)//N printf("the vertical component is,%f N\n",Wv) Wt1=Wh/4//force on each bolt//N printf("the direct tensile load on each bolt is,%f N\n",Wt1) x1=0.05//m//distance of horizontal component from CG Th=Wh*x1//N-m//torque due to horizntl compnt Ws=Wv/4//N//shear load on each bolt printf("shear load on each boltis,%f N\n",Ws) x2=0.3//m Tv=Wv*x2//N-m Tn=Tv-Th//N-m//net moment printf("net moment is,%f N-m\n",Tn) L1=(250-175)/2000//m//dis btw 1 and 2 bolt L3=L1+0.175//m//dis btw 3 and 4 bolt printf("the value of L3 is,%f m\n",L3) //let w be load on each bolt //Te=2*(w*L1)*L1 + 2*(w*L2)*L2=2*w(L1^2 +L2^2)//total moment abt E //Te=0.093*w//N-m w=Tn/0.093//N/m printf("the laod on each per meter distance from E is,%f N/m\n",w) L2=180//mm Wt2=w*L3//N printf("the value of Wt1 is ,%f N\n",Wt1) printf("the value of Wt2 is,%f N\n",Wt2) Wt=Wt1+Wt2//N printf("the value of total force is,%f N\n",Wt) Wte=0.5*[Wt + sqrt(Wt^2 + 4*Ws^2)]//N printf("the value of equivalent force is,%f N\n",Wte) //let dc be core dia dc=sqrt((4*Wte)/(pi*f1))//mm printf("the value of core dia is,%f mm\n",dc) printf("the valuf of core dia from tabl 11.1 instandard condition is 8.18mm\n") //let t be thickness and b be the width,b=3*t //A=3*b*t=9*t^2//mm^2 //I={[b*(2*t +b)^3]/12}-{(b-t)*b^3/12} //I=321*t^4/12 //Z=I/(t+0.5*b)=10.7*t^3//mm^3 //ft1=Wh/A=962/t^2//N/mm^2 Mh=Wh*0.05//N-m //ft2=Mh/Z=40.5*10^3/t^3//N/mm^2 //Ty=Wv/A=556/t^3//N/mm^2 Mv=Wv*0.3//N-m //ft3=Mv/Z=140.2*10^3/t^3//N/mm^2 //Ftnet=ft1-ft2+ft3//N/mm^2 //Ftnet=(962/t^2)-(40.5*10^3/t^3)+(140.210^3/t^3) //Ftnet=(962/t^2)+(99.7*10^3/t^3) Ftnet=100//N/mm^2 //by hit and trial //'Ftnet=100=(962/t^2)+(99.7*10^3/t^3) t=10.4//mm b=3*t//mm printf("the thickness is,%f mm\n",t) printf("the width is,%f mm",b)
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Ex13_3.sce
//Electric Power Generation, Transmission and Distribution by S.N.Singh //Publisher:PHI Learning Private Limited //Year: 2012 ; Edition - 2 //Example 13.3 //Scilab Version : 6.0.0 ; OS : Windows clc; clear; A=120; //Normal copper area in mm^2 con_size=(30+7)/6.30; //Conductor size in mm w=0.4; //Conductor weight in kg/m Ts=1250; //Tensile strength in kg Sf=5; //Safety factor L=200; //Span length in m t=0.5; //Thickness of ice in cm p=10; //Wind pressure in kg/m^2 D=(2*4-1)*6.30*10^(-1); //Total diameter of conductor in cm T=Ts/Sf; //Working stress in kg d=w*L^(2)/(8*T); //Sag in still air in m wi=%pi*((D+t)*10^(-2)*t*10^(-2))*915; //Weight of ice in kg/m W=w+wi; //Total weight of ice in kg/m d1=W*L^(2)/(8*T); //Sag in m Ww=(D+2*t)*10^(-2)*p; //Wind loading in kg/m We=sqrt(Ww^(2)+(w+wi)^(2)) //Effective loading in kg/m d2=We*L^(2)/(8*T); //Total Sag in m angle=atand(Ww/(w+wi)); //Sag angle in degree printf("\nSag in still air %.f m",d); printf("\nSag,if the conductor is covered with ice of 0.5-cm thickness is % .2f m",d1); printf("\nSag,if the conductor is covered with ice of 0.5-cm thickness and a wind pressure of 10 kg/m^(2) is acting on the projected area is %.2f m",d2); printf("\nSag angle is %.2f degree",angle);
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Ex13_4_2.sce
//Ex13.4.12.;Calculare maximum generator efficiency and the efficiency for maximum power,power output //seedbeck coefficient(alpha_s);unit=volts/degree celcius alpha_s1=-190*10^-6;//n-type alpha_s2=190*10^-6;//p-type //Specific resistivity(p);unit=Ohm-cm p1=1.45*10^-3;//n-type p2=1.8*10^-3;//p-type //Figure of merit(Z);unit=degree k^-1 Z1=2*10^-3;//n-type Z2=1.7*10^-3;//p-type //conductivity (n-type), k1=(alpha_s1^2)/(p1*Z1); //similarly k2=(alpha_s2^2)/(p2*Z2); printf(" Conductivity k1=%f W/cm degree celcius \n Conductivity k2=%f W/cm degree celcius",k1,k2); //Z_opt=((alpha_s1-alpha_s2)^2)/[(p1*k1)^2+(p2*k2)^2]; //let a=(alpha_s1-alpha_s2) b=(p1*k1) c=(p2*k2) A=sqrt(b) B=sqrt(c) C=(A+B); ///therefore Z_opt=(a/C)^2; printf("\n Z_opt=%f degree k",Z_opt); //Thermal conductance A1=2.3;//cm^2 A2=1.303;//cm^2 l1=1.5;//cm l2=0.653;//cm K=((k1*A1)/l1)+((k2*A2)/l2) printf("\n Thermal conductance K=%f W/degree celcius",K); //R=Resistance of the generator=R1+R2 R=((p1*l1)/A1)+((p2*l2)/A2); printf("\n Resistance of the generator R=%f ohm",R); TH=923;//unit=k TC=323;//unit=k M_opt=(1+((Z_opt/2)*(TH+TC)))^0.5; printf("\n M_opt=%f ohm",M_opt); RL=M_opt*R; printf("\n RL=%f ohms",RL); //Optimum efficiency n_opt=(((TH-TC)/TH)*((M_opt-1)/(M_opt+(TC/TH)))*100; aa=((TH-TC)/TH); //taking M_opt=1.43 b=(1.43-1)/(1.43+(TC/TH)); n_opt=aa*b*100; printf("\n Optimum efficiency n_opt=%f persent",n_opt); //efficiency for max. power output n= (TH-TC)/TH)*m/[((1+m)^2/TH)*(KR/alpha_s_12^2)+(1+m)-(TH-TC)/2TH)] //Efficiency power output //RL=R i.e. m=1 // let ab=(1+m)^2/TH;ac=(KR/alpha_s_12^2);ad=(TH-TC)/2TH m=1; ab=4/TH; ac=1/Z_opt; ad=aa/2; n_max=[aa/(ab*ac+2-ad)]*100; printf("\n max. power output n_max %f persent",n_max) //Power output P_opt=I^2*RL=alpha_s12^2(TH-TC)*RL/(R+RL)^2=alpha_s12^2(TH-TC)/(1+M_opt)^2*RL //let at=alpha_s12^2(TH-TC);mi=(1+M_opt)^2*RL at=a*a*(TH-TC)*(TH-TC); ml=(1+1.43)*(1+1.43)*2.63*10^-3 P_opt=at/ml; printf("\n Power output P_opt=%f watts",P_opt); //for max. power P_max (RL=R) //P_max=alpha_s12^2(TH-TC)*RL/(r+RL)^2=alpha_s12^2(TH-TC)RL*4RL P_max=at/(4*1.84*10^-3); printf("\n max. power P_max=%f watts",P_max); //Many calcuating mistak are there in a following example,which is corrected in program.
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FLMatrixInvStr-NZ-01.tst
-- Fuzzy Logix, LLC: Functional Testing Script for DB Lytix functions on Netezza -- -- Copyright (c): 2014 Fuzzy Logix, LLC -- -- NOTICE: All information contained herein is, and remains the property of Fuzzy Logix, LLC. -- The intellectual and technical concepts contained herein are proprietary to Fuzzy Logix, LLC. -- and may be covered by U.S. and Foreign Patents, patents in process, and are protected by trade -- secret or copyright law. Dissemination of this information or reproduction of this material is -- strictly forbidden unless prior written permission is obtained from Fuzzy Logix, LLC. -- -- -- Functional Test Specifications: -- -- Test Category: Matrix Operation Functions -- -- Test Unit Number: FLMatrixInvStr-NZ-01 -- -- Name(s): FLMatrixInvStr -- -- Description: Calculates the inverse of a square matrix -- -- Applications: -- -- Signature: FLMatrixInvStr(Row_ID, Col_ID, Cell_Val) -- -- Parameters: See Documentation -- -- Return value: Double Precision -- -- Last Updated: 01-05-2015 -- -- Authors: <Tammy Weng: Tammy.Weng@fuzzyl.com>, <Anurag Reddy: Anurag.Reddy@fuzzyl.com> -- -- BEGIN: TEST SCRIPT --.run file=../PulsarLogOn.sql CREATE TABLE tblMatrixInvTest (MatrixID INTEGER, row_id INTEGER, col_id INTEGER, cell_val FLOAT) DISTRIBUTE ON(row_id ,col_id); CREATE TABLE tblMatrixInvOutput (OutputMatrixID BIGINT, OutputRowNum BIGINT, OutputColNum BIGINT, OutputVal FLOAT) DISTRIBUTE ON( OutputMatrixID ,OutputRowNum ,OutputColNum ); -- BEGIN: POSITIVE TEST(s) ---- P1 Test with a 1 * 1 Matrix ---- Simulate X DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), RANDOM(), RANDOM()+1) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 1 AND Col_id <= 1 AND MatrixID <= 1; ---- Calculate Inv(X) DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01P1: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01P1: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-15 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; ---- P2 Test with a small 50 * 50 Matrix ---- Simulate X DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), RANDOM(), RANDOM()+1) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 50 AND Col_id <= 50 AND MatrixID <= 1; ---- Calculate Inv(X) ---- Calculate Inv(X) DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01P2: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01P2: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-7 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; /* ---- P3 Test with a 1000 * 1000 Matrix ---- Simulate X DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), RANDOM(), RANDOM()+1) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 1000 AND Col_id <= 1000 AND MatrixID <= 1; ---- Calculate Inv(X) DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT t.MatrixID, f.row, f.col, f.value FROM ( SELECT *, NVL(LAG(0) OVER (PARTITION BY 1 ORDER BY row_id, col_id), 1) AS begin_flag, NVL(LEAD(0) OVER (PARTITION BY 1 ORDER BY row_id, col_id), 1) AS end_flag FROM tblMatrixInvTest ) AS t ,TABLE (FLMtxInvUdt(t.row_id, t.col_id, t.cell_val, t.begin_flag, t.end_flag)) AS f; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01P3: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01P3: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-4 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; //*/ -- END: POSITIVE TEST(s) -- BEGIN: NEGATIVE TEST(s) ---- N1 Testing for Non-square Matrix -------- N1.1 Number of rows greater than number of columns SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixMulti a WHERE a.Matrix_ID = 5 AND a.Col_ID < 5 ORDER BY 1, 2 ) AS p; -------- N1.2 Number of rows less than number of columns SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixMulti a WHERE a.Matrix_ID = 5 AND a.Row_ID < 5 ORDER BY 1, 2 ) AS p; ---- N2 Testing for Singular Matrix ---- N2.1 Testing for a 1 * 1 Matrix with 0 as the Value DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest (MatrixID, Row_ID, Col_ID, Cell_Val) VALUES (1, 1, 1, 0); ---- Calculate Inv(X), this calculation should return error messages ------Testing Results: Returns the value infinity. SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- N2.2 Testing for a 1 * 1 Matrix with 0 as the Value DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest (MatrixID, Row_ID, Col_ID, Cell_Val) VALUES (1, 2, 2, 0); ---- Calculate Inv(X), this calculation should return error messages ------Testing Results:ERROR [HY000] ERROR: Matrix is not correctly formed, some elements in the matrix are missing (2 x 2 != 1). SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- N2.3 Testing for a 1 * 1 Matrix with 0 as the Value DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest (MatrixID, Row_ID, Col_ID, Cell_Val) VALUES (1, 2, 3, 0); ---- Calculate Inv(X), this calculation should return error messages ------Testing Results:ERROR [HY000] ERROR: Number of rows and columns are not the same, matrix is not a square matrix. SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- N2.4 Testing with a simulated 5 * 5 singular matrix -------------- Testing Results: Cannot detect all singular matrices, some times return non-sense matrix with very large values as result ---- Simulate values for the first 4 columns of X DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), 0, 10) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 5 AND Col_id <= 4 AND MatrixID <= 1; ---- Calculate values for the last columns using the summation of values in the first 4 Columns Of X, this implies the matrix will be singular INSERT INTO tblMatrixInvTest SELECT a.MatrixID, a.Row_id, 5, FLSum(Cell_Val) FROM tblMatrixInvTest AS a GROUP BY 1, 2, 3; ---- Calculate Inv(X), this calculation should return error messages DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01N2.4: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01N2.4: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-4 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; ---- N3 Testing for Matrix with Missing Cell DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), 0, 10) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 5 AND Col_id <= 5 AND MatrixID <= 1; DELETE FROM tblMatrixInvTest WHERE Row_ID = 2 AND Col_ID = 2; DELETE FROM tblMatrixInvTest WHERE Row_ID = 5 AND Col_ID = 2; ---- Calculate Inv(X) --------Testing Results: ERROR [HY000] ERROR: Matrix is not correctly formed, some elements in the matrix are missing (5 x 5 != 23). DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix, the query below should return Err = 0 for all Matrices SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01N3: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01N3: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-6 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; ---- N4 Testing for Matrix with Repeat Cell DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), 0, 10) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 5 AND Col_id <= 5 AND MatrixID <= 1; INSERT INTO tblMatrixInvTest (MatrixID, Row_ID, Col_ID, Cell_Val) VALUES (1, 2, 4, 3.5); ---- Calculate Inv(X), this calculation should return error messages --------Testing Results:ERROR [HY000] ERROR: Matrix is not correctly formed, some elements in the matrix are missing (5 x 5 != 26) DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01N4: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01N4: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-6 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; ---- N5 Testing for Matrix with Repeat Cell and Missing Cell DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), 0, 10) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 5 AND Col_id <= 5 AND MatrixID <= 1; DELETE FROM tblMatrixInvTest WHERE Row_ID = 2 AND Col_ID = 4; INSERT INTO tblMatrixInvTest (MatrixID, Row_ID, Col_ID, Cell_Val) VALUES (1, 2, 3, 3.5); ---- Calculate Inv(X), this calculation should return error messages --------Testing Results: It calculates the matrix inverse and the result is wrong DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01N5: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01N5: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-6 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; ---- N6 Testing for Very Large Matrix (more than 1000 * 1000) ---- Simulate X DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), RANDOM(), RANDOM()+1) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 1001 AND Col_id <= 1001 AND MatrixID <= 1; ---- Calculate Inv(X) ------Testing Results: /* The query returned more than 1000 rows. Extra rows were ignored. */ /* Start time 05-Jan-15 6:31:01 PM, end time 05-Jan-15 6:32:41 PM. */ /* Duration 100.1537285 sec. */ SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- N7 Testing for Matrix with RowID and ColID <= 0 -------- N7.1 RowID <= 0 DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal - 1 AS Row_id, b.SerialVal AS Col_id, FLSimNormal(RANDOM(), RANDOM(), RANDOM()+1) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 10 AND Col_id <= 10 AND MatrixID <= 10; ---- Calculate Inv(X) ------Testing Results:ERROR [HY000] ERROR: Matrix is not correctly formed, some elements in the matrix are missing (10 x 10 != 1100). DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01N7.1: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01N7.1: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-9 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; -------- N7.2 ColID <= 0 DELETE FROM tblMatrixInvTest; INSERT INTO tblMatrixInvTest SELECT c.SerialVal AS MatrixID, a.SerialVal AS Row_id, b.SerialVal - 1 AS Col_id, FLSimNormal(RANDOM(), RANDOM(), RANDOM()+1) AS Cell_Val FROM fzzlSerial AS a, fzzlSerial As b, fzzlSerial AS c WHERE Row_id <= 10 AND Col_id <= 10 AND MatrixID <= 10; ---- Calculate Inv(X) ------Testing Results:ERROR [HY000] ERROR: Matrix is not correctly formed, some elements in the matrix are missing (10 x 10 != 1100). DELETE FROM tblMatrixInvOutput; INSERT INTO tblMatrixInvOutput SELECT p.MatrixID, FLMatrixRow(p.Inverse) AS Row, FLMatrixCol(p.Inverse) AS Col, FLMatrixVal(p.Inverse) AS Inverse FROM ( SELECT a.MatrixID, FLMatrixInvStr(a.Row_id, a.Col_id, a.Cell_Val) OVER (PARTITION BY 1) AS Inverse FROM tblMatrixInvTest a ) AS p; ---- Inv(X) * X should return identity matrix SELECT a.MatrixID, CASE WHEN SumVal = 0 THEN 'Matrix-FT-FLMatrixInvStr-NZ-01N7.2: PASSED' ELSE 'Matrix-FT-FLMatrixInvStr-NZ-01N7.2: FAILED' END AS Msg FROM (SELECT a.MatrixID, Sum(CASE WHEN FLAbs(NumVal) <= 1e-9 THEN 0 ELSE 1 END) AS SumVal FROM (SELECT a.MatrixID, a.Row_ID, a.Col_ID, CASE WHEN a.Row_ID = a.Col_ID THEN a.NumVal - 1 ELSE a.NumVal END AS NumVal FROM (SELECT a.MatrixID, a.Row_ID, b.OutputColNum AS Col_ID, FLSumProd(a.Cell_Val, b.OutputVal) AS NumVal FROM tblMatrixInvTest AS a, tblMatrixInvOutput AS b WHERE b.OutputMatrixID = a.MatrixID AND b.OutputRowNum = a.Col_ID GROUP BY 1, 2, 3 ) AS a ) AS a GROUP BY MatrixID ) AS a; -- END: NEGATIVE TEST(s) -- Drop schema/indexes by calling associated drop script(s) (OPTIONAL) DROP TABLE tblMatrixInvTest; DROP TABLE tblMatrixInvOutput; -- END: TEST SCRIPT
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clear // //Given //Variable declaration d=3*10 //Diameter of the rod in mm L=5*10**3 //Area of the rod in sq.mm T1=95 //Initial temperature in degree celsius T2=30 //Final temperature in degree celsius E=2e5*10**6 //Youngs Modulus in N/sq.m alpha=12e-6 //Co-efficient of linear expansion in per degree celsius //Calculation A=%pi/4*(d**2) //Area of the rod T=T1-T2 //Fall in temperature in degree celsius //case(i) When the ends do not yield stress1=int(alpha*T*E*1e-6) //Stress in N/sq.mm Pull1=(stress1*A) //Pull in the rod in N //case(ii) When the ends yield by 0.12cm delL=0.12*10 stress2=int((alpha*T*L-delL)*E/L*1e-6) //Stress in N/sq.mm Pull2=(stress2*A) //Pull in the rod in N //Result printf("\n Stress when the ends do not yield = %0.3f N/mm^2",stress1) printf("\n Pull in the rod when the ends do not yield = %0.3f N",Pull1) printf("\n Stress when the ends yield = %0.3f N/mm^2",stress2) printf("\n Pull in the rod when the ends yield = %0.3f N",Pull2)
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Ex5_2.sce
//Ex 5.2 clc;clear;close; format('v',7); N1=480;//no. of turns in primary N2=90;//no. of turns in secondary lfp=1.8;//m(length of flux path) ag=0.1;//mm(airgap) Flux=1.1;//T(flux density) MF=400;//A/m(Magnetic flux) c_loss=1.7;//W/kg f=50;//Hz d=7800;//kg/m^3(density of core) V=2200;//V(potential difference) //Part (a) fi_m=V/(4.44*N1*f);//Wb A=fi_m/Flux;//m^2(Cross sectional area) disp(A,"(a) Cross sectional area(m^2)"); //Part (b) Vnl2=V*N2/N1;//V(2ndary voltage on no load) Vnl2=round(Vnl2);//V(2ndary voltage on no load) disp(Vnl2,"(b) 2ndary voltage on no load(V)"); //Part (c) format('v',5); Fm1=MF*lfp;//A(Magnetootive force for the core) Fm2=Flux/(4*%pi*10^-7)*ag*10^-3;//A(Magnetootive force for airgap) Fm=Fm1+Fm2;//A(Total magnetomotive force) Imax=Fm/N1;//A(maximum value of magnetizing current) Iom=Imax/sqrt(2);//A(rms current) v=lfp*A;//m^3(Volume of core) m=v*d;//kg(Mass of core) coreLoss=c_loss*m;//W(Core Loss) Io1=coreLoss/V;//A(Core loss component of curent) Io=sqrt(Iom^2+Io1^2);//A(no load current) disp(Io,"(c) Primary current on no load(A)"); format('v',6); pf=Io1/Io;//lagging pf on no load disp(pf,"(c) Power factor(lagging) on no load");
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//Least value of alpha and reactions developed //refer fig. 5.16 //Using law of friction and equilibrium //FA=0.25*NA //FB=0.4*NB //NA+0.4*NB=1100 //0.25*NA=NB //Solving this we get NA=1000 //N FA=0.25*NA //N NB=0.25*NA //N FB=0.4*250 //N //Taking moment about A alpha=atand(3) //degree printf("\nNA=%0.2f N\nFA=%0.2f N\nNB=%0.2f N\nFB=%0.2f N\nalpha=%0.2f degree",NA,FA,NB,FB,alpha)
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welcome.dem.sce
function demo_welcome() disp("Welcome in covid toolbox !") endfunction demo_welcome(); clear demo_welcome;
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//Ex:4.5 clc; clear; close; n1=1.46;// core refractive index dl=0.03;// relative refractive index difference y=0.85*10^-6;// operating wavelength in m a=4*10^-6;// core radous in m n2=sqrt(n1^2-2*dl*n1^2);// cladding refractive index Rc=(3*n1^2*y)/(4*%pi*(n1^2-n2^2)^1.5);// critical radius of curvature for multimode fiber Dl=0.003;// relative refractive index difference N2=sqrt(n1^2-2*Dl*n1^2);// yc=(2*%pi*a*n1*(2*Dl)^0.5)/2.405;// cut off wavelength in m y1=1.55*10^-6;// operating wavelength in m Rcs=(20*y1*(2.748-0.996*(y1/yc))^-3)/(0.005)^1.5;// critical radius of curvature for a single mode fiber printf("The critical radius of curvature for multimode fiber =%f um", Rc*10^6);; printf("\n The critical radius of curvature for a single mode fiber =%f um", Rcs*10^3);
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//Exa 3.5 clc; clear; close; format('v',6); //Given Data : Eta1=25/100;//efficiency deltaT=20;//degree centigrade //T2dash=T2-20;//K //T1dash=T1;//K deltaEta1=30/100; Eta_dash=30/100;//efficiency //Eta1/Eta_dash=(1-T2dash/T1dash)/(1-T2/T1) //T1-T2=100; //0.75*T1-T2=0; A=[1 -1;0.75 -1]; B=[100;0]; X=A^-1*B; //Solution for T1 and T2 by matrix T1=X(1);//K T2=X(2);//K disp(T1,"Source temperature in K : "); disp(T2,"Sink temperature in K : ");
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Example35_2.sce
// A Texbook on POWER SYSTEM ENGINEERING // A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar // DHANPAT RAI & Co. // SECOND EDITION // PART III : SWITCHGEAR AND PROTECTION // CHAPTER 9: PROTECTION OF TRANSFORMERS // EXAMPLE : 9.2 : // Page number 635-636 clear ; clc ; close ; // Clear the work space and console // Given data V_lv = 220.0 // LV side voltage of transformer(V) V_hv = 11000.0 // HV side voltage of transformer(V) ratio_CT = 600.0/(5/3**0.5) // CT ratio on LV side of transformer // Calculations CT_pri = 600.0 // Primary CT CT_sec = 5.0/3**0.5 // Secondary CT I_1 = V_lv/V_hv*CT_pri // Line current in secondary of transformer corresponding to primary winding(A) I_2 = CT_sec*3**0.5 // Current in secondary of CT(A) // Results disp("PART III - EXAMPLE : 9.2 : SOLUTION :-") printf("\nRatio of CTs on 11000 V side = %.f : %.f \n", I_1,I_2) printf("\nNOTE: ERROR: Mistake in representing the final answer in textbook solution")
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22_21.sce
clear// //Variables VCC = 9.0 //Source voltage (in volts) RE = 680.0 //Emitter Resistance (in ohm) RC = 1.0 //Collector Resistance (in kilo-ohm) R1 = 33.0 //Resistance (in kilo-ohm) R2 = 15.0 //Resistance (in kilo-ohm) VBE = 0.7 //Emitter-to-Base Voltage (in volts) //Calculation VB = VCC * R2 / (R1 + R2) //Base voltage (in volts) VE = VB - VBE //Emitter voltage (in volts) IE = VE / RE //Emitter current (in Ampere) IC = IE //Collector current (in Ampere) VRC = IC * RC * 10**3 //Voltage across collector resistance (in volts) VC = VCC - VRC //Collector voltage (in volts) VCE = VC - VE //Collector-to-emitter voltage (in volts) //Result printf("\n Operating point values are IC = %0.1f mA and VCE = %0.3f V.",IC*10**3,VCE)
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//Chapter-5, Example 5.45, Page 210 //============================================================================= clc clear //INPUT DATA Vl=415;//voltage in volts Z=(4+((%i)*6));//impedance in each phase in ohm //CALCULATIONS Ip=Vl/Z;//current in each phase in A ip1=abs(Ip);//magnitude of Ip Il=(sqrt(3))*(ip1);//line current in A phi=atan((imag(Ip)/real(Ip))) P=(sqrt(3))*Vl*Il*cos(phi);//power supplied in W mprintf("Thus power supplied is %d W",P); //note:the cosfunction of scilab and calculator will differ slightly //=================================END OF PROGRAM======================================================================================================
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Ex1_14.sce
//Chapter 1 : Wave Optics clear; //Variable declaration D2=1.40 D1=1.20 //Calculation myu=(D2/D1)**2 //Result mprintf("Refractive index of liquid= %0.3f ",myu)
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exp4_14pp.sce
clc clear disp("example 4 14") c=40*10^(-6) //bank of capacitors in farads v=400 //line voltage i=40///line current pf=0.8//power factor f=50//line frequency xc=1/(2*%pi*f*c) ic=v/(sqrt(3)*xc) il=i*(pf-sind(acosd(pf))*%i) til=il+%i*ic od=atand(imag(til)/real(til)) opf=cosd(od) nlol=(abs(od)/i)^2 disp("(a)") printf(" line current of capacitor bank %.1fA \n load current %d%diA \n total line current %d%.1fjA \n overall p.f %.3f \n new line loss to old line loss %.3f",ic,real(il),imag(il),real(til),imag(til),opf,nlol) pcb=(v/xc) printf("\n phase current of capacitor bank %.3fA",pcb) lcb=pcb*sqrt(3) printf("\n line current of capacitor bank %.1fA",lcb) tcu=il+lcb*%i printf("\n total current %d%.1fjA =%.2fA at an angle %.2f",tcu,imag(tcu),abs(tcu),atand(imag(tcu)/real(tcu))) pf2=cosd(atand(imag(tcu)/real(tcu))) printf("\n power factor %.1f \n ratio of new line loss to original loss %.3f",pf2,(abs(tcu)/i)^2)
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ex4.sce
//example 4 //Calculating atmospheric pressure clear clc dm=13534 //density of mercury in kg/m^3 H=0.750 //height difference between two columns in metres g=9.80665 //acc. due to gravity in m/s^2 Patm=dm*H*g/1000 //atmospheric pressure in kPa printf("\n hence, atmospheric pressure is Patm = %.2f kPa. \n",Patm)
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pablovilas/fisica
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about.sci
function dlgAbout() msg = msprintf(gettext("Resolucion de ejercicios de fisica. Gracias a Openeering Team y M. Venturin por los ejemplos de GUI \nAutor: Pablo Vilas")); messagebox(msg, gettext("Acerca de"), "info", "modal"); endfunction
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BasicCoRelation.sce
clear; clc; x = [1 2 3]; disp(x); y = [6 4 5 8]; disp(y); [z,IZ] = xcorr(x,y); // y is delayed disp(z); disp(IZ); [w,IW] = xcorr(y,x); // x is delayed disp(w); // w = time inverse of z disp(IW);
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clc; m=5; // Mass of water in a tank in kg T1=30; // Temperature of water at initial state (1) in degree celcius T2=95; // Temperature of water at final state (2) in degree celcius Qout=70; // Heat transfer from the water tank to the surrounding air in kJ W=75; //Electric energy input to a stirrer inside water in kJ mf=32.3; // Mass of fel in bomb in grams u1=125.78; // Internal energy of water from steam table (uf at T1) in kJ/kg u2=397.88; // Internal energy of water from steam table (uf at T2) in kJ/kg Qf=m*(u2-u1)-W+Qout; // From First law of thermodynamics qf=Qf/(mf*10^-3); // Heat consumption per unit mass of fuel disp ("kJ/kg",qf,"Heat consumption per unit mass of fuel =");
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example9.sce
//Chapter-6 example 9 //============================================================================= clc; clear; //input data l = 12*10^-3;//gunn diode oscillator length in m Vd = 2*10^8;//Drift velocity in gunn diode //Calculations F = Vd/l;//Frequency of Gunn Diode Oscillator //output mprintf('Frequency of Gunn Diode Oscillator is %3.2f Ghz',F/10^9'); //=============end of the program===============================================
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andreaowu/Graphs
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trip2.tst
java trip.Main -m trip-tests/trip2.txt trip-tests/trip2.request
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rutup1595/gui-codes
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gui_final.sci
// sys=1/(s+2+s^3) // sys=((s+3)*(s))/(s+2+s^4) // sys=(s+4)/(s^2+8*s+9) global margin_x margin_y; global frame_w frame_h plot_w plot_h; // Window Parameters initialization frame_w = 200; frame_h = 550;// Frame width and height plot_w = 150; plot_h = frame_h;// Plot width and heigh margin_x = 150; margin_y = 15;// Horizontal and vertical margin //for elements defaultfont = "arial"; // Default Font axes_w = 2*margin_x + frame_w + plot_w;// axes width axes_h = 2*margin_y + frame_h; // axes height (100 => //toolbar height) demo_lhy = scf(100001);// Create window with id=100001 and make //it the current one // Background and text demo_lhy.background = -2; demo_lhy.figure_position = [100 100]; demo_lhy.figure_name = gettext("Control System"); // Change dimensions of the figure demo_lhy.axes_size = [axes_w axes_h]; // Remove Scilab graphics menus & toolbar delmenu(demo_lhy.figure_id,gettext("&File")); delmenu(demo_lhy.figure_id,gettext("&Tools")); delmenu(demo_lhy.figure_id,gettext("&Edit")); delmenu(demo_lhy.figure_id,gettext("&?")); toolbar(demo_lhy.figure_id,"off"); // New menu h1 = uimenu("parent",demo_lhy, "label",gettext("File")); h2 = uimenu("parent",demo_lhy, "label",gettext("About")); h3 = uimenu("parent",demo_lhy, "label",gettext("Response")); h4 = uimenu("parent",demo_lhy, "label",gettext("Parameters")); // Populate menu: file uimenu(h1, "label",gettext("Close"), 'callback',"demo_lhy=get_figure_handle(100001);delete(demo_lhy);"); // Populate menu: about uimenu(h2, "label",gettext("About"),"callback","About();"); popul1=uimenu(h3, "label",gettext("Plots"),"callback","plt();"); popul2=uimenu(h3, "label",gettext("Margin"),"callback","mrgin();"); popul3=uimenu(h4,"label",gettext("PZdata"),"callback","PZdata();"); popul3=uimenu(h4,"label",gettext("Systemdata"),"callback","Systemdata();"); // Sleep to guarantee a better display (avoiding to see a //sequential display) sleep(500); my_frame = uicontrol("parent",demo_lhy, "relief","groove","style","frame", "units","pixels","position",[margin_x margin_y frame_w+100 frame_h],"horizontalalignment","center", "background",[1 1 1],"tag","frame_control"); my_frame_title = uicontrol("parent",demo_lhy, "style","text","string","System", "units","pixels","position",[70+margin_x margin_y+frame_h-10 frame_w-60 20],"fontname",defaultfont, "fontunits","points","fontsize",16, "horizontalalignment","center","background",[1 1 1], "tag","title_frame_control"); textsys = uicontrol("parent",demo_lhy,"relief","groove","style","edit","units","pixels","position",[margin_x+60 500 frame_w-10 20],"tag","nter"); enter1 = uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+70 400 frame_w-50 40],"string","ENTER","callback","enter();"); dispplay=uicontrol("parent",demo_lhy,"relief","groove","style","text","units","pixels","position",[margin_x+50 250 frame_w-10 100],"tag","disp"); //handles.obj=newaxes();handles.obj.margin=[0 0 0 0];handles.obj.axes_bounds=[1/3,0,2/3,1] function enter() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); // disp(typeof(sys1)) textsys = findobj("tag","disp");textsys.string=string(syst); endfunction ////c=enter(); function plt() tag1 = findobj("tag","p1"); tag1.visible="off" tag1 = findobj("tag","p2"); tag1.visible="off" tag1 = findobj("tag","p3"); tag1.visible="off" tag1 = findobj("tag","p4"); tag1.visible="off" tag2 = findobj("tag","margin1"); tag2.visible="off" tag2 = findobj("tag","margin2"); tag2.visible="off" tag1 = findobj("tag","p5"); tag1.visible="off" tag1 = findobj("tag","p6"); tag1.visible="off" tag1 = findobj("tag","p7"); tag1.visible="off" impls=uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 20 frame_w-10 40],"tag","impuls","string","impulse","callback","impuls();"); inital=uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 80 frame_w-10 40],"tag","impuls1","string","Sigma","callback","sig();"); iop= uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 140 frame_w-10 40],"tag","impuls2","string","iopzplot","callback","iopz();"); endfunction function mrgin() tag1 = findobj("tag","impuls"); tag1.visible="off" tag1 = findobj("tag","impuls1"); tag1.visible="off" tag2 = findobj("tag","impuls2"); tag2.visible="off" tag1 = findobj("tag","p1"); tag1.visible="off" tag1 = findobj("tag","p2"); tag1.visible="off" tag1 = findobj("tag","p3"); tag1.visible="off" tag1 = findobj("tag","p4"); tag1.visible="off" tag1 = findobj("tag","p5"); tag1.visible="off" tag1 = findobj("tag","p6"); tag1.visible="off" tag1 = findobj("tag","p7"); tag1.visible="off" show_mrg=uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 20 frame_w-10 40],"tag","margin1","string","Margin","callback","mgin();"); uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 80 frame_w-10 40],"tag","bode1","string","Bode","callback","bde();"); endfunction function impuls() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); demo_lhy1 = scf(100002); demo_lhy1.background = -2; demo_lhy1.figure_position = [50 50]; demo_lhy1.axes_size = [axes_w axes_h]; demo_lhy1.figure_name = gettext("IMPULSE PLOT"); impulse(sys); hh=gca(); hh.auto_clear="on" endfunction function sig() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); // set(gca(),"auto clear","on") demo_lhy1 = scf(100002); demo_lhy1.background = -2; demo_lhy1.figure_position = [50 50]; demo_lhy1.axes_size = [axes_w axes_h]; demo_lhy1.figure_name = gettext("SIGMA"); sigma(sys); hh=gca(); hh.auto_clear="on" endfunction function iopz() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); // set(gca(),"auto clear","on") demo_lhy1 = scf(100002); demo_lhy1.background = -2; demo_lhy1.figure_position = [50 50]; demo_lhy1.axes_size = [axes_w axes_h]; demo_lhy1.figure_name = gettext("IOPZPLOT"); iopzplot(sys); hh=gca(); hh.auto_clear="on" endfunction function mgin() // if ~isempty(handles.obj.children); then // delete(handles.obj.children) // end editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); demo_lhy1 = scf(100002); demo_lhy1.background = -2; demo_lhy1.figure_position = [50 50]; demo_lhy1.axes_size = [axes_w axes_h]; demo_lhy1.figure_name = gettext("MARGIN"); margin(sys) endfunction function bde() // if ~isempty(handles.obj.children); then // delete(handles.obj.children) // end impls.children.visible="off" iop.children.visible="off" editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); demo_lhy1 = scf(100002); demo_lhy1.background = -2; demo_lhy1.figure_position = [50 50]; demo_lhy1.axes_size = [axes_w axes_h]; demo_lhy1.figure_name = gettext("BODE"); bode(sys) endfunction //------------------------------------------------------------------///------------------------------------------------------------------------------------- function PZdata() tag1 = findobj("tag","impuls"); tag1.visible="off" tag1 = findobj("tag","impuls1"); tag1.visible="off" tag1 = findobj("tag","impuls2"); tag1.visible="off" tag2 = findobj("tag","margin1"); tag2.visible="off" tag2 = findobj("tag","margin2"); tag2.visible="off" tag1 = findobj("tag","p4"); tag1.visible="off" tag1 = findobj("tag","p5"); tag1.visible="off" tag1 = findobj("tag","p6"); tag1.visible="off" tag1 = findobj("tag","p7"); tag1.visible="off" uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 20 frame_w-10 40],"tag","p1","string","Pole","callback","pol();"); uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 80 frame_w-10 40],"tag","p2","string","Zero","callback","zer();"); uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 140 frame_w-10 40],"tag","p3","string","ZPK","callback","zpkdat();"); ////// uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 100 frame_w-10 40],"tag","zpkdata1","string","AllMargin","callback","allmargi();"); ////// uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 140 frame_w-10 40],"tag","tfdata1","string","StepInfo","callback","stepinf();"); endfunction function pol() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); poles=cell2mat(pole(sys)) //disp(poles) ; len = size(poles,1) ; //disp(len) page = list() ; page($+1)=list(list([1 len+1],'frame','Poles')); for i =1:len page($+1)=list(list('text',string(i)),list('edit',string(poles(i)))); //disp('hello') end guimaker(page,list('Parameters')) ; endfunction function zer() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); zeroes = (zero(sys)) ; //disp(poles) ; len = size(zeroes,1) ; //disp(len) page = list() ; page($+1)=list(list([1 len+1],'frame','Zeroes')); for i =1:len page($+1)=list(list('text',string(i)),list('edit',string(zeroes(i)))); //disp('hello') end guimaker(page,list('Parameters')) ; endfunction function zpkdat() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); [a,b,c] = zpkdata(sys) ; [num, den] = tfdata(sys) ; page = list() ; page($+1)=list(list([1 2],'frame','Gain Matrix')); page($+1)=list(list('text','Gain'),list('edit',string(c))); len = length(num) ; page($+1)=list(list([1 len+1],'frame','Numerator')); for i =1:len page($+1)=list(list('text',string(i)),list('edit',string(num(i)))); //disp('hello') end len = length(den) ; page($+1)=list(list([1 len+1],'frame','Denominator')); for i =1:len page($+1)=list(list('text',string(i)),list('edit',string(den(i)))); //disp('hello') end guimaker(page,list('Parameters')) ; endfunction function Systemdata() tag1 = findobj("tag","impuls"); tag1.visible="off" tag1 = findobj("tag","impuls1"); tag1.visible="off" tag1 = findobj("tag","impuls2"); tag1.visible="off" tag2 = findobj("tag","margin1"); tag2.visible="off" tag2 = findobj("tag","margin2"); tag2.visible="off" tag1 = findobj("tag","p1"); tag1.visible="off" tag1 = findobj("tag","p2"); tag1.visible="off" tag1 = findobj("tag","p3"); tag1.visible="off" uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 20 frame_w-10 40],"tag","p4","string","TFdata","callback","tfdat();"); uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 80 frame_w-10 40],"tag","p5","string","Bandwidth","callback","bandwid();"); uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 140 frame_w-10 40],"tag","p6","string","AllMargin","callback","allmargi();"); uicontrol("parent",demo_lhy,"relief","groove","style","pushbutton","units","pixels","position",[margin_x+50 200 frame_w-10 40],"tag","p7","string","StepInfo","callback","stepinf();"); endfunction function bandwid() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); band = bandwidth(sys) ; page = list() ; page($+1)=list(list([1 2],'frame','Bandwidth')); page($+1)=list(list('text','Bandwidth'),list('edit',string(band))); guimaker(page,list('Parameters')) ; endfunction function tfdat() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); [num, den] = tfdata(sys) ; page = list() ; len = length(num) ; page($+1)=list(list([1 len+1],'frame','Numerator')); for i =1:len page($+1)=list(list('text',string(i)),list('edit',string(num(i)))); //disp('hello') end len = length(den) ; page($+1)=list(list([1 len+1],'frame','Denominator')); for i =1:len page($+1)=list(list('text',string(i)),list('edit',string(den(i)))); //disp('hello') end guimaker(page,list('Parameters')) ; endfunction function stepinf() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); [x1 x2 x3 x4 x5 x6 x7 x8] = stepinfo(sys) ; page = list() ; page($+1)=list(list([1 8],'frame','Step Info')); page($+1)=list(list('text','Rise Time'),list('edit',string(x1))); page($+1)=list(list('text','Settling Time'),list('edit',string(x2))); page($+1)=list(list('text','Settling Minimum'),list('edit',string(x3))); page($+1)=list(list('text','Settling Maximum'),list('edit',string(x4))); page($+1)=list(list('text','Overshoot'),list('edit',string(x5))); page($+1)=list(list('text','Undershoot'),list('edit',string(x6))); page($+1)=list(list('text','Peak'),list('edit',string(x7))); page($+1)=list(list('text','Peak Time'),list('edit',string(x8))); guimaker(page,list('Parameters')) ; endfunction function allmargi() editsys = findobj("tag","nter");syst =(editsys.string); s=%s; sys=evstr(syst); sys=syslin('c',sys); a = allmargin(sys) ; x1 = a.GMF ; x2 = a.GM ; x3 = a.PMF ; x4 = a.PM ; x5 = a.DM ; x6 = a.DMF ; x7 =a.stable ; page = list() ; page($+1)=list(list([1 7],'frame','All Margin')); page($+1)=list(list('text','Gain Margin Frequency [rad/s]'),list('edit',string(x1))); page($+1)=list(list('text','Gain Margin [db]'),list('edit',string(x2))); page($+1)=list(list('text','Phase Margin Frequency [rad/s]'),list('edit',string(x3))); page($+1)=list(list('text','Phase Margin'),list('edit',string(x4))); page($+1)=list(list('text','Delay Margin'),list('edit',string(x5))); page($+1)=list(list('text','Delay Margin Frequency [rad/s]'),list('edit',string(x6))); page($+1)=list(list('text','Stable'),list('edit',string(x7))); guimaker(page,list('Parameters')) ; endfunction //--------------------------------------------------///-------------------------------------------------------------------------------------------------------- //
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EX6_31.sce
// Example 6.31 // Calculation of a)peak photocurrent , b)shot noise and c)mean square shot noise current // Page no 489 clc; clear; close; //Given data n=0.7; // Efficiency lambda=0.9*10^-6; // Wavelength R=5*10^3; // Load resistance I=2*10^-9; // Dark current P=300*10^-6; // Incident power B=15*10^6; // Bandwidth T=298; // Room temperature h=6.62*10^-34; c=3*10^8; e=1.602*10^-19; // Charge of an electron k=1.381*10^-23; // Boltzman constant // a)Peak photocurrent I=(n*P*e*lambda)/(h*c); I=I*10^6; //b) Shot noise and mean square shot noise current s=2*e*B*(2+I); s=s*10^11; //c) mean square shot noise current t=(4*k*T*B)/R; t=t*10^17; //Displaying results in the command window printf("\n Peak photocurrent (in nA)= %0.3f ",I); printf("\n Shot noise(in 10^-20 A)0 = %0.1f ",s); printf("\n Mean square shot noise current(in 10^-17 A) = %0.2f ",t); // The answers vary due to round off error
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Example11_2.sce
//Example 11.2 clc; clear; close; format('v',5); //Given data : Cv=0.975;//Coeff of pilot tube h=100/1000;//meter g=9.81;//constant Sm=13.6;//Sp. gravity S=0.86;//gravity of turpinre V=Cv*sqrt(2*g*h*(Sm/S-1));//m/s disp(V,"Velocity in m/sec : ");
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inverter.sci
// implementation for a inverter function [A, B, C] = l2p3_inverter(a, b, c, t0, t1, t2, n, Vdc) // this is a two level three phase VIS inverter // a, the 1st upper MOSFET control // b, the 2nd upper MOSFET control // c, the 3rd upper MOSFET control // t0, the 0 component time // t1, the 1 component time // t2, the 2 component time // n, current sector // Vdc, the DC voltage source for the inverter // A, B, C, the 3 phase voltages clock_freq = (t0 + t1 + t2) / 1000; scale = 1 / clock_freq; T = ceil((t0 + t1 + t2) * scale); A = zeros(1, T + 1); B = zeros(1, T + 1); C = zeros(1, T + 1); T0 = t0 * scale; T1 = t1 * scale; T2 = t2 * scale; if 1 == n then //sector 1 SA = (T1 / T * 2 / 3 + T2 / T * 1 / 3) * Vdc; SB = (-T1 / T * 1 / 3 + T2 / T * 1 / 3) * Vdc; SC = (-T1 / T * 1 / 3 - T2 / T * 2 / 3) * Vdc; elseif 2 == n then SA = (-T2 / T * 1 / 3 + T1 / T * 1 / 3) * Vdc; SB = (T2 / T * 2 / 3 + T1 / T * 1 / 3) * Vdc; SC = (-T2 / T * 1 / 3 - T1 / T * 2 / 3) * Vdc; elseif 3 == n then SA = (-T1 / T * 1 / 3 - T2 / T * 2 / 3) * Vdc; SB = (T1 / T * 2 / 3 + T2 / T * 1 / 3) * Vdc; SC = (-T1 / T * 1 / 3 + T2 / T * 1 / 3) * Vdc; elseif 4 == n then SA = (-T2 / T * 1 / 3 - T1 / T * 2 / 3) * Vdc; SB = (-T2 / T * 1 / 3 + T1 / T * 1 / 3) * Vdc; SC = (T2 / T * 2 / 3 + T1 / T * 1 / 3) * Vdc; elseif 5 == n then SA = (-T1 / T * 1 / 3 + T2 / T * 1 / 3) * Vdc; SB = (-T1 / T * 1 / 3 - T2 / T * 2 / 3) * Vdc; SC = (T1 / T * 2 / 3 + T2 / T * 1 / 3) * Vdc; elseif 6 == n then SA = (T2 / T * 2 / 3 + T1 / T * 1 / 3) * Vdc; SB = (-T2 / T * 1 / 3 - T1 / T * 2 / 3) * Vdc; SC = (-T2 / T * 1 / 3 + T1 / T * 1 / 3) * Vdc; end endfunction
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run_wave2d_intro.sce
exec('wave2d.sce'); wavetype=1; //stationary nsteps=5; maxamplitude=10; wavenumber(1)=1*2*%pi; wavenumber(2)=2*2*%pi; wavefreq=5; delta(1)=0.01; delta(2)=0.01; nmax(1)=100; nmax(2)=100; //Wave packet npackets=5; pwavfreq=2; pwavnum=7; //clf; x=1:1:nmax(1); y=1:1:nmax(2); z=zeros(nmax(1),nmax(2)); curFig = scf(100001); clf(curFig,"reset"); drawlater(); xselect(); //raise the graphic window // set a new colormap //------------------- cmap= curFig.color_map; //preserve old setting curFig.color_map = jetcolormap(64); plot3d1(x,y,z,35,45,' '); s=gce(); //the handle on the surface s.color_flag=1 ; //assign facet color according to Z value title("evolution of a 3d surface","fontsize",3) //plot3d1(x,y,zeros(nmax(1),nmax(2))); for i=1:nsteps realtimeinit(0.1);;//set time step (0.1 seconds) and date reference drawnow(); //clf; //realtime(i); s.data.z=wave2d(i, wavetype, maxamplitude, wavenumber, wavefreq, delta,nmax); //plot3d1(x, y, z, 80, 88, 'X@Y@Z', [-1 1 1]); // plot3d1(x, y, z); // xset('wshow'); // xset('wwpc'); //xset("Z", wave2d(i, wavetype, maxamplitude, wavenumber, wavefreq, delta,nmax)); //plot2d(x, wavepacket1d(i, wavetype, maxamplitude, wavenumber, wavefreq,pwavnum, pwavfreq, npackets, delta,nmax)); //xpause(1000000); end
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Example1_4.sce
//illustrating the induced instability through the deflation method of polynomial factorisation. clear; clc; close(); x=poly(0,'x'); p3=x^3-13*x^2+32*x-20;//Given Polynomial roots(p3) //suppose that an estimate of its largest zero is taken as 10.1.Now devide p3 by (x-10.1) p2=x^2-2.9*x+2.71;//the quotient roots(p2) disp('induced a large error in roots')
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// Exa 2.21.15 clc; clear; close; // Given data q = 1.6 * 10^-19;// in C N_D = 4.5 * 10^15;// in /cm^3 del_p = 10^21; e=10;// in cm A = 1;// in mm^2 A = A * 10^-14;// cm^2 l = 10;// in cm Torque_p = 1;// in microsec Torque_p = Torque_p * 10^-6;// in sec Torque_n = 1;// in microsec Torque_n = Torque_n * 10^-6;// in sec n_i = 1.5 * 10^10;// in /cm^3 D_n = 30;// in cm^2/sec D_p = 12;// in cm^2/sec n_o = N_D;// in /cm^3 p_o = (n_i)^2/n_o;// in /cm^3 disp(p_o,"Hole concentration at thermal equilibrium per cm^3 is"); l_n = sqrt(D_n * Torque_n);// in cm disp(l_n,"Diffusion length of electron in cm is"); l_p = sqrt(D_p * Torque_p);// in cm disp(l_p,"Diffusion length of holes in cm is"); x=34.6*10^-4;// in cm dpBYdx = del_p *e;// in cm^4 disp(dpBYdx,"Concentration gradient of holes at distance in cm^4 is"); e1 = 1.88 * 10^1;// in cm dnBYdx = del_p * e1;// in cm^4 check this also........................... disp(dnBYdx,"Concentration gradient of electrons in per cm^4 is"); J_P = -(q) * D_p * dpBYdx;// in A/cm^2 disp(J_P,"Current density of holes due to diffusion in A/cm^2 is"); J_n = q * D_n * dnBYdx;// in A/cm^2 disp(J_n,"Current density of electrons due to diffusion in A/cm^2 is");
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clc V1=0.2; //m^3 p1=4*10^5; //N/m^2 T1=403; //K p2=1.02*10^5; //N/m^2 dH=72.5; //kJ Q_23=dH; cp=1; //kJ/kg cv=0.714; //kJ/kg y=1.4; V2=V1*(p1/p2)^(1/y); T2=T1*((p2/p1)^((y-1)/y)); R=(cp-cv)*1000; //J/kg.K m=p1*V1/R/T1; T3=Q_23/(m*cp) +T2; V3=V2*T3/T2; W_12=(p1*V1 - p2*V2)/(y-1); W_23=p2*(V3-V2); W_123=W_12+W_23; disp("Total work done = ") disp(W_123) disp("J") disp("(ii) Index of expansion, n") p3=p2; n=(p1*V1-p3*V3)/W_123 + 1; disp("value of index = ") disp(n)
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clc clear //Initialization of variables P=200 //psia x=0.95 m=1//lb //calculations disp("From mollier chart,") hx=1156 //Btu/lb sx=1.495 //Btu/lb F //results printf("Enthalpy = %d Btu/lb",hx) printf("\n entropy = %.3f Btu/lb F",sx)
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// sum 20-2 clc; clear; P=12*10^3; d=0.2; D=0.5; C=2; sigmax=2*10^6; t=8*10^-3; //Let density be rho rho=950; u=0.38; N=1500; //Let angle of contact = thetad thetad=180-(2*asind((D-d)/(2*C))); thetad=thetad*%pi/180; thetaD=(2*%pi)-thetad; v=(2*%pi*N*d)/(60*2); //Let T1-T2=T T=P/v; x=exp(u*thetad); b=(T*x)/((1-x)*t*((rho*v^2)-(sigmax))); b=b*10^3; //Let breadth of the pulley be b1 b1=b*10^3+13; //Table 20-3 L=sqrt((4*C^2)-(C*(D-d)^2))+((D*thetaD)+(d*thetad))/2; // Let pulley crown for d=h1, D=h2 h1=0.6; //Table 20-4 h2=1; // printing data in scilab o/p window printf("b is %0.2f mm ",b) printf("\n L is %0.2f m ",L) printf("\n b1 is %0.2f mm ",b1); printf("\n h1 is %0.1f mm ",h1); printf("\n h2 is %0.1f mm ",h2);
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LossCurve_to_S4P_Converter_v2.sce
// ====================== Loss Curve to S-param ==================== // // Creates an s2p or s4p file based on canonnical loss equation fit // of loss data // // // loss(dB)=length in inch (DC loss + alpha*f^0.5 + beta*f + gamma * f^2) // // where // alpha, beta, gamma - loss coefficients per inch // // (c)2014 L. Rayzman // // Created : 03/26/2014 // Last Modified: 03/26/2014 - Initial // 07/15/2014 - Added parameter extraction from data // Added DC loss calculation // // // // // // INPUT DATA INSTRUCTIONS: // 1. Prepare a CSV file containing loss data in the format // freq pt 1(GHz), loss pt 1(dB/PER INCH) // freq pt 2(GHz), loss pt 2(dB/PER INCH) // freq pt 3(GHz), loss pt 3(dB/PER INCH) // . // . // . // FOR EXCEL: // Usually this data will come from PCB Material IL Data spreadsheet // // Notes: - In Excel you can use Transpose Paste to convert horizontal to vertical data // - Save Excel data to .CSV file not .xls/.xlsx // - Frequency data does not have to be in sequential order // // FOR S-PARAM FILES: // It is possible to use SPEX to generate the CSV file // To do this // - view the curve you want to output // - in the plot, set the File->Delimiter to Comma(,) // - File->Export XY Data to .csv // - Open in Excel // Remove header line // Rescale to loss per inch, as necessary // // // // 2. Run this script and follow all commands // // // // // ==================================================================== // ==================================================================== //clear; stacksize(128*1024*1024); /////////////////////////////////////////////////////////////////////////////// fin_csv=emptystr(); // Filename of input CSV data spin_raw=[]; // Raw input CSV data spinfreqs=[]; // Input frequency data spinlossdata=[]; // Input loss data foutsparam = emptystr(); // Filename of S2p Output file spoutfreqs=[]; // Output frequency points vector spoutdata=[]; // Output S-param matrix data numofports=0; // Number of ports numofreqs=0; // Number of frequencies entries_choice=emptystr(); // Text matrix that describes available entries to view entry_idx=0; // freqMax=20.0e9; // Minimum and maximum frequencies freqMin=0; freqNum=400; // Number of frequency points alphaf=0; // Line loss parameters betaf=0; gammaf=0; DCloss=0; // DC loss in dB trc_wd=6; // Trace width for DC calculations trc_hght=0.65; // Trace height for DC calculations len_scalar=1; // Length normalization scaling factor splossdata_fit=[]; // Loss data fit c_coeff=[]; // Coefficients of fit curve c_coeff0=[alphaf;betaf;gammaf]; // Initial coefficient values // PLOTTING STUFF plot_fig_idx=0; // Plot index gui_plot_w = 600; // Plot width gui_plot_h = 400; // Plot height sHzPrefix=emptystr(); // Frequency scaling text prefix freqscalar=1; // Frequency scalar /////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////// // // Curve fitting function for leastsq // // // // Inputs: // f: frequency point // x: coefficients // Outputs: // y: ditto // function y=xfit(f, x) y=x(1)*f.^(0.5)+x(2)*f+x(3)*f.^2 endfunction // // Error function for leastsq // // // // Inputs: // // f: frequency points vector // x_hat: esimated data value // x: actual data value // Outputs: // e: ditto // function e=errfunc(x_hat, f, x) e= x - xfit(f, x_hat) endfunction /////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////// /////////////////// // Get Scilab Version /////////////////// version_str=getversion(); version_str=tokens(version_str,'-'); version_str=tokens(version_str(2),'.'); version(1)=msscanf(version_str(1), '%d'); version(2)=msscanf(version_str(2), '%d'); if (version(1)<5) then error("Invalid Scilab version. Version 5.5 or greater is required"); elseif (version(2) < 5) then error("Invalid Scilab version. Version 5.5 or greater is required"); end /////////////////// // Informational /////////////////// messagebox("See notes in sce file for instructions on input data format", "modal", "info", "OK"); /////////////////// // Select input data file /////////////////// fin_csv=uigetfile("*.csv", "", "Please choose phase noise data file"); if fin_csv==emptystr() then messagebox("Invalid source file selection. Script aborted", "","error","Abort"); abort; end disp(strcat(["Info: Begin loading input data file " fin_csv])); spin_raw=csvRead(fin_csv); // Read raw data if size(spin_raw,2)<>2 then messagebox("Invalid dimensions of input data. Expecting data in (freq, data) format. Script aborted", "","error","Abort"); abort; end //... and sort in the process spinfreqs=spin_raw(:,1)*1e9; // In Hz [spinfreqs,spinorder]=gsort(spinfreqs,'g','i'); spinlossdata=spin_raw(spinorder,2); // In dB // check loss data, if attenuation make it loss spinlossdata=spinlossdata.*((spinlossdata<=0)*2-1); clear spin_raw; disp("Info: Finished loading data file"); /////////////////// // Get and compute DC loss /////////////////// labels=["Trace Width(mil)";"Trace Height(mil)"]; [ok,trc_wd,trc_hght]=getvalue("Trace geometry for DC loss",labels,... list("vec",1,"vec",1),[string(trc_wd);string(trc_hght)]) if ok == 0 then messagebox("Why did you press cancel. Don''t you like my script?") abort; end //calculate loss DCloss=20*log10(2/(2+ (0.0254)/(5.8e7*trc_wd*2.54e-5*trc_hght*2.54e-5)/50)); /////////////////// // Get number of ports /////////////////// sportcnt=x_choices('',list(list('Select number of ports for output:',3,['No output', '2-port','4-port']))); if sportcnt==1 then //No output numofports=0; elseif sportcnt==2 then //2-port numofports=2; elseif sportcnt==3 then //4-port numofports=4; else messagebox("Invalid number of ports selected. Script aborted", "","error","Abort"); abort; end /////////////////// // Get frequeny range /////////////////// if numofports>0 then labels=["Fmin";"Fmax";"Num of pts"]; [ok,freqMin,freqMax,freqNum]=getvalue("Output data frequency range (GHz)",labels,... list("vec",1,"vec",1,"vec",1),[string(freqMin/1e9);string(freqMax/1e9);string(freqNum)]) else labels=["Fmin";"Fmax"]; [ok,freqMin,freqMax]=getvalue("Output data frequency range (GHz)",labels,... list("vec",1,"vec",1),[string(freqMin/1e9);string(freqMax/1e9)]) end if ok == 0 then messagebox("Why did you press cancel. Don''t you like my script?") abort; end freqMin=evstr(freqMin)*1e9; freqMax=evstr(freqMax)*1e9; freqNum=evstr(freqNum); //Generate frequency vector spoutfreqs=freqMin:(freqMax-freqMin)/(freqNum-1):freqMax; //Generate frequency points /////////////////// // Get scaling factor /////////////////// if numofports>0 then [ok,len_scalar]=getvalue(["Length scaling factor"; ""; "Example: 1 meter : 1 inch = 39.37"],"", list("vec",1),"39.37"); if ok == 0 then messagebox("Why did you press cancel. Don''t you like my script?") abort; end end /////////////////// // Setup files/directories for output /////////////////// if numofports>0 then if numofports==2 then foutsparam=uigetfile("*.s2p", "", "Please choose destination S-parameters file"); if fileext(foutsparam)==emptystr() then foutsparam=strcat([foutsparam ".s2p"]); end else foutsparam=uigetfile("*.s4p", "", "Please choose destination S-parameters file"); if fileext(foutsparam)==emptystr() then foutsparam=strcat([foutsparam ".s4p"]); end end if foutsparam==emptystr() then messagebox("Invalid destination file selection. Script aborted", "","error","Abort"); abort; end end /////////////////// // Curve fit equation coefficients /////////////////// [splossdata_fit, c_coeff]=leastsq(list(errfunc, spinfreqs/1e9, spinlossdata-DCloss), c_coeff0); alphaf=c_coeff(1)*(1e-9)^0.5; // This is workaround(?) for leastsq betaf=c_coeff(2)*(1e-9); // because it doesn't seem to find small gammaf=c_coeff(3)*(1e-9)^2; // coefficient values when using the native // frequency range clear c_coeff; clear c_coeff0; /////////////////// // Create S-param /////////////////// if numofports>0 then disp(strcat(["Info: Begin writing output data file " foutsparam])); numofreqs=length(spoutfreqs); // Initialize spoutdata=ones(numofports,numofports,numofreqs)*(10^(-100/20)+1e-9*%i); if numofports==2 then //2-ports version for i=1:numofreqs, spoutdata(2,1,i)=10^((DCloss+alphaf*(spoutfreqs(i)^0.5)+betaf*(spoutfreqs(i))+gammaf*(spoutfreqs(i)^2))*len_scalar/20)+1e-9*%i; spoutdata(1,2,i)=10^((DCloss+alphaf*(spoutfreqs(i)^0.5)+betaf*(spoutfreqs(i))+gammaf*(spoutfreqs(i)^2))*len_scalar/20)+1e-9*%i; end else // 4-port version for i=1:numofreqs, spoutdata(2,1,i)=10^((DCloss+alphaf*(spoutfreqs(i)^0.5)+betaf*(spoutfreqs(i))+gammaf*(spoutfreqs(i)^2))*len_scalar/20)+1e-9*%i; // IL spoutdata(1,2,i)=10^((DCloss+alphaf*(spoutfreqs(i)^0.5)+betaf*(spoutfreqs(i))+gammaf*(spoutfreqs(i)^2))*len_scalar/20)+1e-9*%i; spoutdata(4,3,i)=10^((DCloss+alphaf*(spoutfreqs(i)^0.5)+betaf*(spoutfreqs(i))+gammaf*(spoutfreqs(i)^2))*len_scalar/20)+1e-9*%i; spoutdata(3,4,i)=10^((DCloss+alphaf*(spoutfreqs(i)^0.5)+betaf*(spoutfreqs(i))+gammaf*(spoutfreqs(i)^2))*len_scalar/20)+1e-9*%i; end end // Compute data for each freq sptlbx_writetchstn(foutsparam, spoutfreqs, spoutdata); disp("Info: Finished writing file"); end /////////////////// // Plot the fit /////////////////// // Determaxe frequency scalar for the plot select find([spoutfreqs($)/1e12 spoutfreqs($)/1e9 spoutfreqs($)/1e6 spoutfreqs($)/1e3 spoutfreqs($)] >= 1, 1) case 1 then //THz :) sHzPrefix= "T"; freqscalar=1e12; case 2 then //GHz sHzPrefix= "G"; freqscalar=1e9; case 3 then //MHz sHzPrefix= "M"; freqscalar=1e6; case 4 then // KHz sHzPrefix= "K"; freqscalar=1e3; case 5 then // Hz freqscalar=1; else freqscalar=1; end // Create Plot window global plot_fig_idx; plot_fig = scf(plot_fig_idx); plot_fig.figure_name = gettext(strcat("Insertion Loss Fit Plot")); plot_fig.axes_size = [gui_plot_w gui_plot_h]; drawlater(); //Plot the fit over the frequency range plot(spinfreqs/freqscalar, spinlossdata, "kx", spoutfreqs/freqscalar, DCloss+xfit(spoutfreqs, [alphaf;betaf;gammaf]), "b-"); // Lables and things xtitle("Insertion Loss Fit"); xlabel(strcat(["Freq (" sHzPrefix "Hz)"])); ylabel("IL (dB/in)"); format('v',6); // All this funkiness to get correct float format in text :) infotext=strcat(["DC Loss:" string(DCloss) "dB | "]); format('e',9); infotext=strcat([infotext "alpha:" string(alphaf) " | beta:" string(betaf) " | gamma:" string(gammaf)]) xinfo(infotext); format('v',10); clear infotext; xgrid(12); // Set plot axis x_min=plot_fig.children.data_bounds(1,1); y_min=floor(DCloss+xfit(spoutfreqs($), [alphaf;betaf;gammaf])); x_max=plot_fig.children.data_bounds(2,1); y_max=0; plot_fig.children.data_bounds=[x_min, y_min; x_max,y_max]; // Pretty-fi labels=plot_fig.children.x_ticks.labels; // Funky labels workaround plot_fig.children.x_ticks.labels=labels; clear labels; plot_fig.children.x_label.font_size=2; plot_fig.children.y_label.font_size=2; plot_fig.children.title.font_size=3; drawnow(); disp("Done!");
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PNsequence.sci
function [y,currstate] = PNsequence(genpoly,initialstate,opmask,nbitsout) y=[]; currstate=[]; // Display mode mode(0); // Display warning for floating point exception ieee(1); //PNsequence Generates PN sequence //Y = PNsequence(genpoly,initialstate,opmask,nbitsout) outputs y binary pn sequence(column vector) //and currstate i.e current state of shift register //genpoly - Generator polynomial is vector array of bits; must be descending order. //Initialstate - Vector array (with length of the generator polynomial order) //of initial shift register values (in bits) //opmask -Outout mask vector of binary 0 and 1 values is used to specify which //shift register state bits are XORed to produce the resulting output bit value. //Initialstate and opmask should have same length and should be equal to degree of gen poly // //nbitsout - number of outputbits //Author - Harshal Shah //checking conditions on genpoly if(~isreal(genpoly) | or( isnan(genpoly)) | min(size(genpoly))~=1 | or(genpoly ~= 0 & genpoly ~= 1)) then error("PNsequence:improper genpoly"); end if(~genpoly(1)) then error("PNsequence:improper genpoly"); end //checking conditions on initial state if(~isreal(initialstate) | or( isnan(initialstate)) | min(size(initialstate))~=1 | or(initialstate ~= 0 & initialstate ~= 1)) then error("PNsequence:improper initialstate"); end //checking conditions on hecking conditions on initial stat if(~isreal(opmask) | or( isnan(opmask)) | min(size(opmask))~=1 | or(opmask ~= 0 & opmask ~= 1)) then error("PNsequence:improper opmask"); end //checking conditions on inbitsout if (~isreal(nbitsout) | length(nbitsout)~=1 | isnan(nbitsout)|ceil(nbitsout)~=nbitsout|nbitsout<=0) then error("PNsequence:improper nbitsout"); end //checking that length of Initialstate, genpoly and opmask are equal if (length(genpoly)~=(length(initialstate)+1) | length(initialstate)~=length(opmask)) then error(" Initialstate and opmask should have same length and should be equal to degree of gen poly"); end buff = initialstate; for i = 1:nbitsout //generating output bit y(i)=maskedxor(buff,opmask); //generating next beet to feed in shift register k = maskedxor(buff,genpoly(2:length(genpoly))); //shifting the register buff = shift(buff,k); end currstate = buff; endfunction function out = shift(in,k) out=[]; for i =length(in):-1:2 out(i)=in(i-1); end out(1)=k; endfunction function y = maskedxor(in,mask) y=0; for i=1:length(in) if(mask(i)) then y=y+in(i); end end y=modulo(y,2); endfunction
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//Example11.3 // determine the resolution of 4-bit D/A converter clc; clear; close; VFS = 12 ; N = 4 ; // the resolution of 4-bit D/A converter is defined as Resolution = VFS/(2^N-1) ; disp('the resolution of 4-bit D/A converter is = '+string(Resolution)+ ' V ');
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// Exa 17.7 // To calculate downlink cell load-factor and number of voice users per cell for a WCDMA system. clc; clear all; Ri=12.2*10^3;//Information rate in bps Rc=3.84*10^6;// Chip rate in chips per second Eb_Nt=4; // in dB Eb_Nt=10^(Eb_Nt/10); B=0.5;//Average interference factor due to other cells Zeta=0.6; // orthogonality factor Imargin=2;//Interference margin(3 dB) Vi=0.65 //assuming Channel activity factor as 0.65 //solution Loadfactor_peruser=(Zeta+B)*(1/((Rc/Ri)*(1/Eb_Nt)*(1/Vi))) printf('Downlink cell load factor is %.4f \n ',Loadfactor_peruser); cellLoading=(Imargin-1)/Imargin; Voiceusers=cellLoading/Loadfactor_peruser; printf('No of voice users per cell are %d \n ',Voiceusers);
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clc clear //Initialization of variables ye=0.434 Pt=40.25 //kPa xe=0.616 Pe1=22.9 //kPa Pe2=29.6 //kPa //calculations ge= ye*Pt/(xe*Pe1) gb=(1-ye)*Pt/((1-xe)*Pe2) E= log10(ge) *(1+ (1-xe)*log(gb) /(xe*log(ge)))^2 B= log10(gb) *(1+ xe/(1-xe) *log(ge) /log(gb))^2 xe2=0.4 xb2=0.6 lnge2=E/(1+ E*xe2/(B*xb2))^2 lngb2=B/(1+ B*xb2/(E*xe2))^2 ge2=10^(lnge2) gb2=10^(lngb2) Pt1=ge2*Pe1 Pt2=gb2*Pe2 //results printf("Total pressure in case 1 = %.2f kPa and in case 2 = %.2f kPa",Pt1, Pt2 )
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Ex12_1.sce
// chapter 12 // example 12.1 // calculate fractional index change for a given optical fibre // page 360 clear; clc; // given u1=1.563; // refractive index of core u2=1.498; // refractive index of cladding //calculate d=(u1-u2)/u1; // calculation of fractional index change printf('\nThe fractional index change for a given optical fibre is %.4f',d);
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yin-yang-pair-o.sce
clear clc exec('objective.sce'); disp("RUNNING...") rand('seed',getdate('s')) //POPSIZE = 2 DIM = 2 UPPER = 100 LOWER = -100 MAXITER = 50 ARCHMIN = 2 ARCHMAX = 4 //ARCHLIMIT = grand(1,1,"uin",ARCHMIN,ARCHMAX) ARCHLIMIT = floor(rand()*(ARCHMAX+1-ARCHMIN))+ARCHMIN ARCHLIMIT = 5 ALPHA = 10 DELTA(1:2) = 0.5 P = rand(2,DIM).*(UPPER-LOWER) + LOWER FIT = F1(P) [BESTFIT IND] = min(FIT) GBESTFIT = BESTFIT GBESTPOS = P(IND,:) //P = normalize(P,UPPER,LOWER) P = (P-LOWER)./(UPPER-LOWER) ARCHBEST = [] ARCHFIT = [] ARCHCOUNT = 0 xtitle("INITIALIZATION") square(LOWER,LOWER,UPPER,UPPER) plot(P(:,1),P(:,2),'b.') plot(GBESTPOS(:,1),GBESTPOS(:,2),'g.') xs2png(gcf(),'gif/yypo/ITER0.png') clf() for ITER=1:MAXITER //disp(ITER) // if P2 is better than P1 if FIT(2)<FIT(1) // swap P1 and P2 P0 = P(1,:) P(1,:) = P(2,:) P(2,:) = P0 // swap their delta also D0 = DELTA(1) DELTA(1) = DELTA(2) DELTA(2) = D0 // swap their fitness FIT0 = FIT(1) FIT(1) = FIT(2) FIT(2) = FIT0 end // add to archive P1 and P2, their fitness, update archive count ARCHBEST = [ARCHBEST; P] ARCHFIT = [ARCHFIT; FIT] ARCHCOUNT = ARCHCOUNT+1 col = ['c.' 'm.'] for point=1:2 //PP = actualize(P(point,:,:),ubx,uby,lbx,lby) //plot(PP(1,:,1),PP(1,:,2),COL(point)) if rand()<0.5 // 1-WAY split // eq. 1 // generate 2D or 2p copies of Ppoint // C1 is for eq.1.1, p copies C1 = repmat(P(point,:),[DIM 1]) + rand(DIM,DIM).*DELTA(point) // C1 is for eq.1.2, p copies C2 = repmat(P(point,:),[DIM 1]) - rand(DIM,DIM).*DELTA(point) // combine generated copies, 2p copies all S = [C1; C2] else // create the random binary matrix - no bitstrings are equal VALPRM = grand(1,"prm",(1:2^DIM)) // Get the first 2D value DVAL = VALPRM(1:2*DIM) // convert to binary (string) BINSTR = dec2bin(DVAL-1,DIM) // Concatenate/combine all bitstring into a single bitstring BINCAT = strcat(BINSTR) // split the bitstring into groups of D matrix CHOP = strsplit(BINCAT) // Transform matrix CHOP to a 2D x D matrix BIN_ARR_STR = matrix(CHOP,[DIM 2*DIM])' // Convert the BIN_ARR_STR matrix values to intger B = strtod(BIN_ARR_STR) // convert 0 to -1 for easy use during eq. 2 B(B==0) = -1 // Eq.2 S = repmat(P(point,:),[DIM*2 1]) + rand(DIM*2,DIM).*B.*(DELTA(point)/sqrt(2)) end // Bounding variables that are out of bounds // Reinitialize VARIABLE VALUES that are out of bounds (less than 0; greater than 1) S(S<0) = rand(length(find(S<0)),1) S(S>1) = rand(length(find(S>1)),1) // scale to their actual variable values the 2p copies S = S.*(UPPER-LOWER)+LOWER SFIT = F1(S) // evaluate square(LOWER,LOWER,UPPER,UPPER) plot(S(:,1),S(:,2),col(point)) [SBESTFIT SBESTIND] = min(SFIT) // get best // return to scale the 2p copies S = (S-LOWER)./(UPPER-LOWER) // update Ppoint and it FITpoint with the fittest point from the generated copies P(point,:) = S(SBESTIND,:) FIT(point) = SBESTFIT end // ARCHIVING if ARCHCOUNT==ARCHLIMIT // ARCH limit is reached if min(ARCHFIT)<FIT(1) // interchange P1 with the fittest point from the archive [ARCHBESTFIT ARCHIND] = min(ARCHFIT) P0 = ARCHBEST(ARCHIND,:) P(1,:) = ARCHBEST(ARCHIND,:) ARCHBEST(ARCHIND,:) = P0 // do also for fitness FIT0 = ARCHBESTFIT FIT(1) = ARCHBESTFIT ARCHFIT(1) = FIT0 end if min(ARCHFIT)<FIT(2) // make the fittest from the archive be the new P2 [ARCHBESTFIT ARCHIND] = min(ARCHFIT) P(2,:) = ARCHBEST(ARCHIND,:) FIT(2) = ARCHBESTFIT end // update deltas/ radii DELTA(1) = DELTA(1)-(DELTA(1)/ALPHA) DELTA(2) = DELTA(2)+(DELTA(2)/ALPHA) // clear archive ARCHBEST = [] ARCHFIT = [] // set ARCHIVE COUNT to 0 ARCHCOUNT = 0 ARCHLIMIT = floor(rand()*(ARCHMAX+1-ARCHMIN))+ARCHMIN end // get ITERATION BEST [BESTFIT IND] = min(FIT) // update GBEST if BESTFIT<GBESTFIT GBESTFIT = BESTFIT GBESTPOS = P(IND,:).*(UPPER-LOWER)+LOWER end FITRUN(ITER) = GBESTFIT xtitle("ITER "+string(ITER)) square(LOWER,LOWER,UPPER,UPPER) plot(P(:,1),P(:,2),'b.') plot(GBESTPOS(:,1),GBESTPOS(:,2),'g.') xs2png(gcf(),'gif/yypo/ITER'+string(ITER)+'.png') clf() end //plot((1:MAXITER)',FITRUN,'g-')
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clc; v=2; //voltage in volts l=10^-3; //inductance in Henry i=10*10^-3; //current di=v/l; //change in current in A/sec t=i/di; //calculating time disp(t,"Time required to reach 0.01 A in sec = "); //displaying result
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Example3_18.sce
//Chapter-3,Example3_6_3,pg 3-18 a=2.2 //ratio= Pout/Pin //For a length of L=2 km Pl1=a*2 ratio_1=10^(-Pl1/10) //as Power loss or attenuation is Pl=(-10)*log10(Pout/Pin) printf("\nThe fractional initial intensity after 2 km is %.3f \n",ratio_1) //For a length of L=6 km Pl2=a*6 ratio_2=10^(-Pl2/10) //as Power loss or attenuation is Pl=(-10)*log10(Pout/Pin) printf("\nThe fractional initial intensity after 6 km is %.3f \n",ratio_2)
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