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/LG Pin Practice 360 FN AR.sce
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2023-03-18T23:30:49.653812
2020-09-23T06:26:05
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LG Pin Practice 360 FN AR.sce
Name=LG Pin Practice 360 FN AR PlayerCharacters=FortniteMain BotCharacters=Pigeon.bot IsChallenge=true Timelimit=60.0 PlayerProfile=FortniteMain AddedBots=Pigeon.bot;Pigeon.bot;Pigeon.bot PlayerMaxLives=0 BotMaxLives=0;0;0 PlayerTeam=1 BotTeams=2;0;0 MapName=boxer.map MapScale=3.8125 BlockProjectilePredictors=true BlockCheats=true InvinciblePlayer=false InvincibleBots=false Timescale=1.0 BlockHealthbars=false TimeRefilledByKill=0.0 ScoreToWin=1000.0 ScorePerDamage=1.0 ScorePerKill=0.0 ScorePerMidairDirect=0.0 ScorePerAnyDirect=0.0 ScorePerTime=0.0 ScoreLossPerDamageTaken=0.0 ScoreLossPerDeath=0.0 ScoreLossPerMidairDirected=0.0 ScoreLossPerAnyDirected=0.0 ScoreMultAccuracy=false ScoreMultDamageEfficiency=false ScoreMultKillEfficiency=false GameTag=Tracking, Fortnite WeaponHeroTag=Fortnite AR, FortniteMain DifficultyTag=4 AuthorsTag=twitch.tv/Akuvo BlockHitMarkers=false BlockHitSounds=false BlockMissSounds=true BlockFCT=false Description=Using the Air map LG Pin Practice is now a 360 degree challenge because you are stuck in the middle GameVersion=1.0.7.2 ScorePerDistance=0.0 [Aim Profile] Name=Default MinReactionTime=0.3 MaxReactionTime=0.4 MinSelfMovementCorrectionTime=0.001 MaxSelfMovementCorrectionTime=0.05 FlickFOV=30.0 FlickSpeed=1.5 FlickError=15.0 TrackSpeed=3.5 TrackError=3.5 MaxTurnAngleFromPadCenter=75.0 MinRecenterTime=0.3 MaxRecenterTime=0.5 OptimalAimFOV=30.0 OuterAimPenalty=1.0 MaxError=40.0 ShootFOV=15.0 VerticalAimOffset=0.0 MaxTolerableSpread=5.0 MinTolerableSpread=1.0 TolerableSpreadDist=2000.0 MaxSpreadDistFactor=2.0 [Bot Profile] Name=Pigeon DodgeProfileNames=Long Strafes 2 DodgeProfileWeights=1.0 DodgeProfileMaxChangeTime=5.0 DodgeProfileMinChangeTime=1.0 WeaponProfileWeights=1.0;1.0;1.0;1.0;1.0;1.0;1.0;1.0 AimingProfileNames=Default;Default;Default;Default;Default;Default;Default;Default WeaponSwitchTime=3.0 UseWeapons=false CharacterProfile=Clay Pigeon SeeThroughWalls=true NoDodging=false NoAiming=false [Character Profile] Name=FortniteMain MaxHealth=100.0 WeaponProfileNames=FN AR;;;;;;; MinRespawnDelay=1.0 MaxRespawnDelay=5.0 StepUpHeight=16.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=0.0 MovementType=Base MaxSpeed=375.0 MaxCrouchSpeed=133.0 Acceleration=0.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=550.0 Gravity=0.0 AirControl=0.0 CanCrouch=false CanPogoJump=false CanCrouchInAir=true CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=270.0 MainBBType=Cylindrical MainBBHeight=200.0 MainBBRadius=9.0 MainBBHasHead=true MainBBHeadRadius=6.0 MainBBHeadOffset=1.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=65.0 ProjBBRadius=10.0 ProjBBHasHead=true ProjBBHeadRadius=8.0 ProjBBHeadOffset=-8.0 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=Run.abilsprint;;; HideWeapon=false AerialFriction=0.0 StrafeSpeedMult=1.0 BackSpeedMult=0.9 RespawnInvulnTime=0.0 BlockedSpawnRadius=0.0 BlockSpawnFOV=0.0 BlockSpawnDistance=100.0 RespawnAnimationDuration=0.5 AllowBufferedJumps=false BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=1.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=true TPSArmLength=155.0 TPSOffset=X=0.000 Y=20.000 Z=-5.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=10.0 [Character Profile] Name=Clay Pigeon MaxHealth=100.0 WeaponProfileNames=;;;;;;; MinRespawnDelay=1.0 MaxRespawnDelay=5.0 StepUpHeight=75.0 CrouchHeightModifier=0.5 CrouchAnimationSpeed=1.0 CameraOffset=X=0.000 Y=0.000 Z=0.000 HeadshotOnly=false DamageKnockbackFactor=8.0 MovementType=Base MaxSpeed=1000.0 MaxCrouchSpeed=500.0 Acceleration=4000.0 AirAcceleration=16000.0 Friction=8.0 BrakingFrictionFactor=2.0 JumpVelocity=2500.0 Gravity=3.0 AirControl=0.25 CanCrouch=true CanPogoJump=false CanCrouchInAir=false CanJumpFromCrouch=false EnemyBodyColor=X=255.000 Y=0.000 Z=0.000 EnemyHeadColor=X=255.000 Y=255.000 Z=255.000 TeamBodyColor=X=0.000 Y=0.000 Z=255.000 TeamHeadColor=X=255.000 Y=255.000 Z=255.000 BlockSelfDamage=false InvinciblePlayer=false InvincibleBots=false BlockTeamDamage=false AirJumpCount=0 AirJumpVelocity=800.0 MainBBType=Cylindrical MainBBHeight=230.0 MainBBRadius=55.0 MainBBHasHead=true MainBBHeadRadius=45.0 MainBBHeadOffset=0.0 MainBBHide=false ProjBBType=Cylindrical ProjBBHeight=230.0 ProjBBRadius=55.0 ProjBBHasHead=true ProjBBHeadRadius=45.0 ProjBBHeadOffset=0.0 ProjBBHide=false 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=0.5 AllowBufferedJumps=true BounceOffWalls=false LeanAngle=0.0 LeanDisplacement=0.0 AirJumpExtraControl=0.0 ForwardSpeedBias=1.0 HealthRegainedonkill=0.0 HealthRegenPerSec=0.0 HealthRegenDelay=0.0 JumpSpeedPenaltyDuration=0.0 JumpSpeedPenaltyPercent=0.0 ThirdPersonCamera=false TPSArmLength=300.0 TPSOffset=X=0.000 Y=150.000 Z=150.000 BrakingDeceleration=2048.0 VerticalSpawnOffset=0.0 [Dodge Profile] Name=Long Strafes 2 MaxTargetDistance=100000.0 MinTargetDistance=0.0 ToggleLeftRight=true ToggleForwardBack=false MinLRTimeChange=0.5 MaxLRTimeChange=1.5 MinFBTimeChange=0.2 MaxFBTimeChange=0.5 DamageReactionChangesDirection=true DamageReactionChanceToIgnore=0.5 DamageReactionMinimumDelay=0.125 DamageReactionMaximumDelay=0.25 DamageReactionCooldown=1.0 DamageReactionThreshold=50.0 DamageReactionResetTimer=0.5 JumpFrequency=0.5 CrouchInAirFrequency=0.0 CrouchOnGroundFrequency=0.0 TargetStrafeOverride=Ignore TargetStrafeMinDelay=0.125 TargetStrafeMaxDelay=0.25 MinProfileChangeTime=0.0 MaxProfileChangeTime=0.0 MinCrouchTime=0.3 MaxCrouchTime=0.6 MinJumpTime=0.1 MaxJumpTime=0.1 LeftStrafeTimeMult=1.0 RightStrafeTimeMult=1.0 StrafeSwapMinPause=0.2 StrafeSwapMaxPause=0.5 BlockedMovementPercent=0.5 BlockedMovementReactionMin=0.125 BlockedMovementReactionMax=0.2 [Weapon Profile] Name=FN AR Type=Hitscan ShotsPerClick=1 DamagePerShot=30.0 KnockbackFactor=0.1 TimeBetweenShots=0.181818 Pierces=false Category=FullyAuto BurstShotCount=2 TimeBetweenBursts=0.1 ChargeStartDamage=0.1 ChargeStartVelocity=X=1500.000 Y=0.000 Z=0.000 ChargeTimeToAutoRelease=2.0 ChargeTimeToCap=1.0 ChargeMoveSpeedModifier=1.0 MuzzleVelocityMin=X=3000.000 Y=0.000 Z=0.000 MuzzleVelocityMax=X=3000.000 Y=0.000 Z=0.000 InheritOwnerVelocity=0.0 OriginOffset=X=0.000 Y=0.000 Z=0.000 MaxTravelTime=3.0 MaxHitscanRange=100000.0 GravityScale=1.0 HeadshotCapable=true HeadshotMultiplier=2.0 MagazineMax=30 AmmoPerShot=1 ReloadTimeFromEmpty=2.2 ReloadTimeFromPartial=2.2 DamageFalloffStartDistance=800.0 DamageFalloffStopDistance=1200.0 DamageAtMaxRange=25.0 DelayBeforeShot=0.0 HitscanVisualEffect=Tracer ProjectileGraphic=Ball VisualLifetime=0.001 WallParticleEffect=Gunshot HitParticleEffect=Blood BounceOffWorld=true BounceFactor=0.6 BounceCount=0 HomingProjectileAcceleration=6000.0 ProjectileEnemyHitRadius=0.1 CanAimDownSight=true ADSZoomDelay=0.15 ADSZoomSensFactor=1.0 ADSMoveFactor=0.75 ADSStartDelay=0.0 ShootSoundCooldown=0.08 HitSoundCooldown=0.08 HitscanVisualOffset=X=0.000 Y=0.000 Z=-50.000 ADSBlocksShooting=false ShootingBlocksADS=false KnockbackFactorAir=0.1 RecoilNegatable=true DecalType=1 DecalSize=8.0 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=true AimPunchAmount=0.0 AimPunchResetTime=0.05 AimPunchCooldown=0.5 AimPunchHeadshotOnly=false AimPunchCosmeticOnly=true MinimumDecelVelocity=0.0 PSRManualNegation=false PSRAutoReset=true AimPunchUpTime=0.05 AmmoReloadedOnKill=30 CancelReloadOnKill=false FlatKnockbackHorizontalMin=0.0 FlatKnockbackVerticalMin=0.0 ADSScope=No Scope ADSFOVOverride=80.0 ADSFOVScale=Clamped Horizontal ADSAllowUserOverrideFOV=false IsBurstWeapon=false ForceFirstPersonInADS=false ZoomBlockedInAir=false ADSCameraOffsetX=-90.0 ADSCameraOffsetY=0.0 ADSCameraOffsetZ=0.0 QuickSwitchTime=0.1 Explosive=false Radius=500.0 DamageAtCenter=100.0 DamageAtEdge=0.1 SelfDamageMultiplier=0.5 ExplodesOnContactWithEnemy=true DelayAfterEnemyContact=0.0 ExplodesOnContactWithWorld=true DelayAfterWorldContact=0.0 ExplodesOnNextAttack=false DelayAfterSpawn=5.0 BlockedByWorld=true SpreadSSA=2.0,2.0,-1.0,0.0 SpreadSCA=2.0,2.0,-1.0,0.0 SpreadMSA=2.0,2.0,-1.0,0.0 SpreadMCA=2.0,2.0,-1.0,0.0 SpreadSSH=2.0,2.0,-1.0,0.0 SpreadSCH=2.0,2.0,-1.0,0.0 SpreadMSH=2.0,2.0,-1.0,0.0 SpreadMCH=2.0,2.0,-1.0,0.0 MaxRecoilUp=0.0 MinRecoilUp=0.0 MinRecoilHoriz=0.0 MaxRecoilHoriz=0.0 FirstShotRecoilMult=1.0 RecoilAutoReset=true TimeToRecoilPeak=0.08 TimeToRecoilReset=0.08 AAMode=0 AAPreferClosestPlayer=false AAAlpha=0.15 AAMaxSpeed=1.0 AADeadZone=0.0 AAFOV=30.0 AANeedsLOS=true TrackHorizontal=true TrackVertical=true AABlocksMouse=false AAOffTimer=0.0 AABackOnTimer=0.0 TriggerBotEnabled=false TriggerBotDelay=0.0 TriggerBotFOV=0.1 StickyLock=false HeadLock=true VerticalOffset=0.0 DisableLockOnKill=false UsePerShotRecoil=false PSRLoopStartIndex=2 PSRViewRecoilTracking=1.0 PSRCapUp=2.2 PSRCapRight=4.0 PSRCapLeft=4.0 PSRTimeToPeak=0.12 PSRResetDegreesPerSec=6.0 PSR0=1.5,0.0 PSR1=1.25,0.0 PSR2=0.4,0.125 PSR3=0.4,-0.125 PSR4=0.4,0.25 PSR5=0.4,-0.25 UsePerBulletSpread=false PBS0=0.0,0.0 [Sprint Ability Profile] Name=Run MaxCharges=1.0 ChargeTimer=0.001 ChargesRefundedOnKill=0.0 DelayAfterUse=0.5 FullyAuto=false AbilityDuration=0.0 BlockAttackWhileSprinting=false AbilityBlockedWhenAttacking=true SpeedModifier=1.5 45DegreeSprint=true 90DegreeSprint=true 135DegreeSprint=true 180DegreeSprint=true TapToSprint=false Block45DegreesWhenSprinting=false AIUseInCombat=true AIUseOutOfCombat=false AIUseOnGround=true AIUseInAir=true AIReuseTimer=1.0 AIMinSelfHealth=0.0 AIMaxSelfHealth=100.0 AIMinTargHealth=0.0 AIMaxTargHealth=100.0 AIMinTargDist=0.0 AIMaxTargDist=2000.0 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Mirbanator/labyrinth_game
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02-tyontojaliike.tst
SIEMENLUKU 26500 PELAAJIA 2 IHMINEN Foo IHMINEN Bar
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nikhil-soraba/rasp30
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tgate.sce
//**************************** TGATE *********************************** if (blk_name.entries(bl) =='tgate') then mputl("#TGATE "+string(bl),fd_w); for ss=1:scs_m.objs(bl).model.ipar(1) mputl(".subckt tgate in[0]=net"+string(blk(blk_objs(bl),2))+"_" + string(ss)+" in[1]=net" + string(blk(blk_objs(bl),3))+"_" + string(ss)+" out=net"+ string(blk(blk_objs(bl),2+numofip))+"_" + string(ss),fd_w); mputl(" ",fd_w); end if scs_m.objs(bl).model.rpar(1) == 1 then plcvpr = %t; plcloc=[plcloc;'net'+string(blk(blk_objs(bl),2+numofip))+'_1',string(scs_m.objs(bl).model.rpar(2))+' '+string(scs_m.objs(bl).model.rpar(3))+' 0']; end end
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sonusharma55/Signal-Toolbox
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// Date of creation: 18 Dec, 2015 function varargout = pmusic(varargin) // Psuedospectrum using MUSIC algorithm // // Note: does not implement the plotting functionality as in matlab // Calling Sequence // [S,w] = pmusic(x,p) // [S,w] = pmusic(x,p,w) // [S,w] = pmusic(x,p,nfft) // [S,w] = pmusic(x,p,nfft,fs) // [S,w] = pmusic(x,p,f,fs) // [S,f] = pmusic(...,'corr') // [S,f] = pmusic(x,p,nfft,fs,nwin,noverlap) // [...] = pmusic(...,freqrange) // [...,v,e] = pmusic(...) // // Parameters: // x - int|double - vector|matrix // Input signal. In case of a matrix, each row of x represents a // seperate observation of the signal. If 'corr' flag is specified, // then x is the correlation matrix. // If w is not specified in the input, it is determined by the // algorithm. If x is real valued, then range of w is [0, pi]. // Otherwise, the range of w is [0, 2pi) // p - int|double - scalar|vector // p(1) is the dimension of the signal subspace // p(2), if specified, represents a threshold that is multiplied by // the smallest estimated eigenvalue of the signal's correlation matrix. // w - int|double - vector // w is the vector of normalized frequencies over which the // pseuspectrogram is to be computed. // nfft - int - scalar (Default = 256) // Length of the fft used to compute pseudospectrum. The length of S // (and hence w/f) depends on the type of values in x and nfft. // If x is real, length of s is (nfft/2 + 1) {Range of w = [0, pi]} if // nfft is even and (nfft+1)/2 {Range of w = [0, pi)} otherwise. // If x is complex, length of s is nfft. // fs - int|double - scalar (Default = 1) // Sampling rate. Used to convert the normalized frequencies (w) to // actual values (f) and vice-versa. // nwin - int|double - scalar (int only)|vector (Default = 2*p(1)) // If nwin is scalar, it is the length of the rectangular window. // Otherwise, the vector input is considered as the window coefficients. // Not used if 'corr' flag present. // If x is a vector, windowing not done in nwin in scalar. If x is a // matrix, // noverlap - int - scalar (Default = nwin-1) // number of points by which successive windows overlap. noverlap not // used if x is a matrix // freqrange - string // The range of frequencies over which the pseudospetrogram is // computed. Three possible values - 'onesided', 'twosided', 'centered' // 'corr' flag // Presence indicates that the primary input x is actually a // correlation matrix // // Examples: // TODO: // // See also // pburg | peig | periodogram | pmtm | prony | pwelch | rooteig | rootmusic // // Authors // Ayush Baid // // References // [1] Petre Stoica and Randolph Moses, Introduction To Spectral // Analysis, Prentice-Hall, 1997, pg. 15 // [2] S. J. Orfanidis, Optimum Signal Processing. An Introduction. // 2nd Ed., Macmillan, 1988. funcprot(0); exec('subspaceMethodsInputParser.sci',-1); exec('musicBase.sci',-1); [numOutArgs,numInArgs] = argn(0); // check number of output arguments if numOutArgs~=2 & numOutArgs~=4 then msg = "pmusic: Wrong number of output argument; 2 or 4 expected"; error(78,msg); end // ("**start**"); [data, msg, err_num] = subspaceMethodsInputParser(varargin); if length(msg)==0 then // no error occured else error(err_num, "pmusic: " + msg); end //disp(data); [musicData,msg] = musicBase(data); //disp(musicData); //disp(musicData.noiseEigenvects); //disp(musicData.signalEigenvects); if length(msg)~=0 then error(msg); end // computing the pseudospectrum [S,f] = pseudospectrum(musicData.noiseEigenvects, ... musicData.eigenvals,data.w,data.nfft, data.fs, data.freqrange,data.isFsSpecified); v = musicData.noiseEigenvects; e = musicData.eigenvals; varargout = list(S,f,v,e); // plot if requested if numOutArgs==0 then pow = 10*log10(S); figure() plot(f,pow); if data.isFsSpecified then xlabel('Frequency (Hz)'); else xlabel('Normalized Frequency (*pi rad/sample)'); end ylabel('Power (dB)'); title('Pseudospectrum Estimate via MUSIC'); end endfunction function [pspec,w] = pseudospectrum(noiseEigenvects, eigenvals, freqvector, ... nfft, fs, freqrange,isFsSpecified) // disp("noise eigenvects in pseudospectrum - "); // disp(noiseEigenvects); weights = ones(1,size(noiseEigenvects,2)); denominator = 0; isFreqGiven = %F; for i=1:size(noiseEigenvects,2); // disp("looping in pseudospectrum"); if isempty(freqvector) then [h,w] = computeFreqResponseByFFT(noiseEigenvects(:,i),nfft,fs,... isFsSpecified); else [h,w] = computeFreqResponseByPolyEval(noiseEigenvects(:,i),... freqvector,fs,isFsSpecified); isFreqGiven = %T; end denominator = denominator + (abs(h).^2)./weights(i); // disp(h(1:10)); end // disp(denominator(1:5)); // computing pseudospectrum pspec pspec = 1.0 ./ denominator; // converting to column vector pspec = pspec(:); if ~isFreqGiven then // correcting the range of pspec according to the user specification if strcmpi(freqrange, 'onesided')==0 then if modulo(nfft,2) then // nfft is odd range = 1:(1+nfft)/2; else range = 1:((nfft/2)+1); end pspec = pspec(range); w = w(range); elseif strcmpi(freqrange,'centered')==0 then // convert two sided spectrum to centered rem = modulo(nfft,2); if rem then idx = [(nfft+1)/2+1:nfft 1:(nfft+1)/2]; else idx = [nfft/2+2:nfft 1:nfft/2+1]; end pspec = pspec(idx); w = w(range); if rem then w(1:(nfft-1)/2) = w(1:(nfft-1)/2) - fs; else w(1:nfft/2-1) = w(1:nfft/2-1) - fs; end end end endfunction function [h,w] = computeFreqResponseByFFT(b,n,fs,isFsSpecified) // returns the frequency response (h) and the corresponding frequency // values (w) for a digital filter with numerator b. The evaluation of the // frequency response is done at n points in [0,fs) using fft algorithm // // Similar to MATLAB's freqz(b,a,n,'whole',fs) if isempty(fs) then fs=1; end w = linspace(0,2*%pi,n+1)'; w($) = []; w(1) = 0; // forcing the first frequency to be 0 // forcing b and a to be column vectors b = b(:); // zero padding for fft zeroPadLength = n - length(b); zeroPad = zeros(zeroPadLength,1); b = [b; zeroPad]; h = fft(b); if isFsSpecified then w = w*fs/(2*%pi); end endfunction function [h,w] = computeFreqResponseByPolyEval(b,f,fs,isFsSpecified) // returns the frequency response (h) for a digital filter with numerator b. // The evaluation of the frequency response is done at frequency values f // disp(f); // disp(isFsSpecified); f = f(:); b = b(:); n = length(b); powerMatrix = zeros(length(f),n); powerMatrix(:,1) = 1; for i=2:n powerMatrix(:,i) = exp(f*(-i+1)*%i); end h = powerMatrix*b; if isFsSpecified then w = f * fs/(2*%pi); end endfunction
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refs/heads/master
2020-04-09T02:43:26.499817
2018-02-03T05:31:52
2018-02-03T05:31:52
37,975,407
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ex30.sce
clc clear //Input data C1=40;//Temperature 1 in degree centigrade C2=-20;//Temperature 2 in degree centigrade //calculations F1=((C1/100)*180)+32;//Temperature 1 in Fahrenheit F2=((C2/100)*180)+32;//Temperature 2 in Fahrenheit //Output printf('(a)Temperature 40 degree C =%3.0f F \n (b)Temperature -20 degree C=%3.0f F',F1,F2)
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no_license
FOSSEE/Scilab-TBC-Uploads
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2020-04-09T02:43:26.499817
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Ex9_4.sce
clc clear //Input data sa1=10;//Cross section of nucleus in barns N=2200;//Neutrons in m/s En1=0.1;//Kinetic energy of neutrons increases in eV En2=0.02525;//Kinetic energy of neutron in eV //Calculations sa2=sa1/[(En1/En2)^0.5];//The cross section of neutrons in barns //Output printf('The cross section of neutrons = %3.2f barns ',sa2)
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6_1.sce
clear; clc; //Example - 6.1 //Page number - 217 printf("Example - 6.1 and Page number - 217\n\n"); //Given T_1 = 298.15;//[K] - Standard temperature T_2 = 880;//[K] - Reaction temperature a_SO2 = 6.157; a_SO3 = 3.918; a_O2 = 6.732; b_SO2 = 1.384*10^(-2); b_SO3 = 3.483*10^(-2); b_O2 = 0.1505*10^(-2); c_SO2 = -0.9103*10^(-5); c_SO3 = -2.675*10^(-5); c_O2 = -0.01791*10^(-5); d_SO2 = 2.057*10^(-9); d_SO3 = 7.744*10^(-9); delta_H_rkn_298 = -23.45*10^(3);//[cal] - Rkn enthalpy at 298.15 K delta_H_SO2_for_298 = -70.94*10^(3);//[cal/mol] - Enthalpy of formation of S02 at 298.15 K delta_H_SO3_for_298 = -94.39*10^(3);//[cal/mol] - Enthalpy of formation of SO3 at 298.15 K delta_G_SO2_for_298 = -71.68*10^(3);//[cal/mol] - Gibbs free energy change for formation of SO2 at 298.15 K delta_G_SO3_for_298 = -88.59*10^(3);//[cal/mol] - Gibbs free energy change for formation of SO3 at 298.15 K //(1) //Standard enthalpy change of reaction at temperature T is given by, //delta_H_rkn_T = delta_rkn_298 + delta_Cp_0*delta_T delta_a = a_SO3 - a_SO2 - (a_O2/2); delta_b = b_SO3 - b_SO2 - (b_O2/2); delta_c = c_SO3 - c_SO2 - (c_O2/2); delta_d = d_SO3 - d_SO2; //Cp_0 = delta_a + (delta_b*T) + (delta_c*T^(2)) + (delta_d*T^(3)); //Therefore we get, delta_H_rkn_880 = delta_H_rkn_298 + integrate('delta_a+(delta_b*T)+(delta_c*T^(2))+(delta_d*T^(3))','T',T_1,T_2); //On manual simplification of the above expression,we will get the expression for 'delta_H_rkn_880' as a function of T, printf(" (1).The expression for standard enthalpy change of reaction as a function of temperature is given by\n"); printf(" delta_H_rkn_880 = -22534.57 - 5.605*T + 1.012*10^(-2)*T^(2) - 0.585*10^(-5)*T^(3) + 1.422*10^(-9)*T^(4)\n\n") printf(" (2).Standard enthalpy change of reaction at 880 K is %f cal\n\n",delta_H_rkn_880); //(3) //Let us determine the standard entropy change of reaction at 298.15 K delta_S_SO2_298 = (delta_H_SO2_for_298 - delta_G_SO2_for_298)/298.15;//[cal/mol-K] delta_S_SO3_298 = (delta_H_SO3_for_298 - delta_G_SO3_for_298)/298.15;//[cal/mol-K] delta_S_O2_298 = 0;//[cal/mol-K] delta_S_rkn_298 = delta_S_SO3_298 - delta_S_SO2_298 - (delta_S_O2_298/2);//[cal/K] delta_S_rkn_880 = delta_S_rkn_298 + integrate('(delta_a+delta_b*T+delta_c*T^(2)+delta_d*T^(3))/T','T',T_1,T_2);//[cal/K] printf(" (3).Standard entropy change of reaction at 880 K is %f cal/K\n\n",delta_S_rkn_880); //(4) delta_G_rkn_880 = delta_H_rkn_880 - 880*delta_S_rkn_880;//[cal] printf(" (4).Standard Gibbs free energy change of reaction at 880 K is %f cal\n\n",delta_G_rkn_880);
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Ex7_1.sce
//Chapter 7: Loop, Slot and Horn Antennas //Example 7-8.1 clc; //Variable Initialization C_lambda = 0.1*%pi //Circumference (lambda) R_m = 1.6 //Mutual resistance of two loops (ohm) theta1 = 90*%pi/180 //Angle of radiation (radians) theta2 = 2*%pi/10 //Angle of radiation (radians) //Calculation Rr = 197*(C_lambda)**4 //Self resistance of loop (ohm) D1 = (1.5)*(sin(theta1))**2 //Directivity of loop alone (unitless) D1_db = 10*log10(D1) //Directivity of loop alone (dBi) D2 = 1.5*(2*sqrt(Rr/(Rr-R_m))*sin(theta2))**2 //Directivity of loop with ground plane (unitless) D2_db = 10*log10(D2) //Directivity of loop with ground plane (dBi) //Result mprintf("The directivity of loop alone is %.2f or %.2f dBi",D1,D1_db) mprintf("\nThe directivity of loop with ground plane is %.2f or %.0f dBi",D2,D2_db)
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ch6_3.sce
// To determine the critical disruptive voltage and corona loss clear clc; m=1.07; r=.625 V=21*m *r*log(305/.625); Vl=V*sqrt(3); mprintf("critical disruptive voltage=%.0f kV\n",V); mprintf("since operating voltage is 110 kV , corona loss= 0 ");
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clc V1=0.45; //m^3 p1=1; //bar T1=303; //K p2=11; //bar Qs=210; //kJ n=210; //number of working cycles/min R=287; //J/kg K cv=0.71; //kJ/kg K y=1.4; disp("(i) Pressures, temperatures and volumes at salient points") r=(p2/p1)^(1/y); T2=T1*(r)^(y-1); disp("T2=") disp(T2) disp("K") V2=T2/T1*p1/p2*V1; disp("V2=") disp(V2) disp("m^3") m=p1*10^5*V1/R/T1; T3=Qs/m/cv+T2; disp("T3=") disp(T3) disp("K") p3=T3/T2*p2; disp("p3=") disp(p3) disp("bar") V3=V2; disp("V3=") disp(V3) disp("m^3") p4=p3/r^y; disp("p4=") disp(p4) disp("bar") T4=T3/r^(y-1); disp("T4=") disp(T4) disp("K") V4=V1; disp("V4=") disp(V4) disp("m^3") disp("(ii) Percentage clearance =") %clearance=V2/(V1-V2)*100; disp(%clearance) disp("%") disp("(iii) Efficiency =") Qr=m*cv*(T4-T1); n_otto=(Qs-Qr)/Qs; disp(n_otto) disp("(iv) Mean effective pressure =") p_m=(Qs-Qr)/(V1-V2)/100; //bar disp(p_m) disp("bar") disp("(v) Power developed =") P=(Qs-Qr)*n/60; disp(P) disp("kW")
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function y = flowsheet_residuals(x) //********************************************************************* // Data Reconciliation Benchmark Problems From Literature Review // Author: Edson Cordeiro do Valle // Contact - edsoncv@{gmail.com}{vrtech.com.br} // Skype: edson.cv //********************************************************************* // this function is prepared to use the automatic derivatives toolbox of // Scilab. This toolbox can be instaled using the ATOMS installer (package name: diffcode). // This function evaluates the residuals of the flowsheet of the problem proposed by Swartz, 1989 // // Outputs: // y,: the contraints residuals. The number of constraints depends on the number of the // data sets choosen (see 'bt93.sec' file) // Inputs: // x: the column vector of the variables: x - it is reorganized inside this function // The resulting system is according to the papper from Biegler and Tjoa (1993): xdata = matrix(x(1:$-4),21, ndata); //pause FA6=xdata(1,:); TA2=xdata(2,:); TA4=xdata(3,:); TA5=xdata(4,:); TA7=xdata(5,:); TA8=xdata(6,:); TD1=xdata(7,:); TC1=xdata(8,:); TB1=xdata(9,:); TB2=xdata(10,:); FA1=xdata(11,:); FA3=xdata(12,:); FC1=xdata(13,:); FD1=xdata(14,:); FB1=xdata(15,:); TA1=xdata(16,:); TB3=xdata(17,:); TC2=xdata(18,:); TD2=xdata(19,:); TA3=xdata(20,:); TA6=xdata(21,:); UAint = x($-3:$); dt1_1 = (TB2 - TA2); dt1_2 = (TB3 - TA1); dt2_1 = (TB1 - TA4); dt2_2 = (TB2 - TA3); dt3_1 = (TC1 - TA5); dt3_2 = (TC2 - TA4); dt4_1 = (TD1 - TA7); dt4_2 = (TD2 - TA6); //mldt1 =(dt1_1.*dt1_2.*((dt1_1+dt1_2)/2)).^(1/3); //mldt2 =(dt2_1.*dt2_2.*((dt2_1+dt2_2)/2)).^(1/3); //mldt3 =(dt3_1.*dt3_2.*((dt3_1+dt3_2)/2)).^(1/3); //mldt4 =(dt4_1.*dt4_2.*((dt4_1+dt4_2)/2)).^(1/3); // mldt1 = ((TB2 - TA2) - (TB3 - TA1))./log((TB2 - TA2)./(TB3 - TA1)); mldt2 = ((TB1 - TA4) - (TB2 - TA3))./log((TB1 - TA4)./(TB2 - TA3)); mldt3 = ((TC1 - TA5) - (TC2 - TA4))./log((TC1 - TA5)./(TC2 - TA4)); mldt4 = ((TD1 - TA7) - (TD2 - TA6))./log((TD1 - TA7)./(TD2 - TA6)); //pause // mass balance //y = zeros (1:14*ndata); y(1:ndata) = FA1 - FA3 - FA6; // energy balance y(ndata+1: 2*ndata) = FA1.*(TA2 - TA1) - FB1.*(TB2 - TB3) ; y(2*ndata+1: 3*ndata) = FA3.*(TA4 - TA3) - FB1.*(TB1 - TB2); y(3*ndata+1: 4*ndata) = FA3.*(TA5 - TA4) - FC1.*(TC1 - TC2) ; y(4*ndata+1: 5*ndata) = FA6.*(TA7 - TA6) - FD1.*(TD1 - TD2); y(5*ndata+1: 6*ndata) = FA1.*TA8 - FA3.*TA5 - FA6.*TA7; // equations related with parameters y(6*ndata+1: 7*ndata) = UAint(1).*mldt1 - FB1.*(TB2 - TB3); y(7*ndata+1: 8*ndata) = UAint(2).*mldt2 - FB1.*(TB1 - TB2); y(8*ndata+1: 9*ndata) = UAint(3).*mldt3 - FC1.*(TC1 - TC2); y(9*ndata+1: 10*ndata) =UAint(4).*mldt4 - FD1.*(TD1 - TD2); //equations relating unmeasured streams //inequality constraints y(10*ndata+1: 11*ndata) = TB2 - TA2; y(11*ndata+1: 12*ndata) = TB1 - TA4; y(12*ndata+1: 13*ndata) = TC1 - TA5; y(13*ndata+1: 14*ndata) = TD1 - TA7; //y(14*ndata+1: 15*ndata) = TD2 - TA6; //y(15*ndata+1: 16*ndata) = TB2 - TA3; y=y'; //pause endfunction
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ex_7_26.sce
clear; clc; close; A=[2 1;0 2]; D=[2 0; 0 2]; N=[0 1;0 0]; disp(N^2,"N*N="); p=D*N; q=N*D; if (p==q) then disp("D and N commute") end
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Ex2_7.sce
clc //Variable declaration n=1 lamda=1.54 theta=32*%pi/180 h=2 k=2 l=0 //Calculations d=(n*lamda*10**-10)/(2*sin(theta)) //derived from 2dsin(theta)=n*l a=d*(sqrt(h**2+k**2+l**2)) //Results printf('d =%0.3f *10**-10 m\n',(d*10**10)) printf('a =%0.3f *10**-10 m\n',(a*10**10))
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clear all; clc; disp("Ex 11_2") //From virtual displacements //From virtual - work equation //We have an quation like: //1=2.4*sin(2*theta)-1.6*cos(theta) //Solving by trial and error gives disp("Theta = 36.3 degrees")
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clc //initialisation of variables kl=0.2 kd=0.05 A=4//ft^2 g=32.2//ft/sec^2 wa=0.081//lb ww=62.4//lb v=20//ft/sec //CALCULATIONS La=kl*A*wa*v*v/g Da=kd*A*wa*v*v/g Lw=kl*A*ww*v*v/g Dw=kd*A*ww*v*v/g //RESULTS printf ('\n force on the plate for fluid air= %.3f lb',La) printf ('\n resistance of the plate for fluid air= %.3f lb',Da) printf ('\n force on the plate for fluid water= %.f lb',Lw) printf ('\n resistance of the plate for fluid air= %.f lb',Dw)
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Ex17_2.sce
clc // initialization of variables clear E=200 //GPa v=0.29 Y=1600 //MPa Po=4.2 //kN Omega=3000 //rpm th=%pi/3 P=1.75 //kN R1=4.76 //mm R11=R1 R2=-4.86 //mm R22=18.24 //mm //part (a) E=E*10^3 Po=Po*10^3 P=P*10^3 B=1/4*(1/R1+1/R2+1/R11+1/R22)+1/4*((1/R1+1/R2-1/R11-1/R22)^2 - 4*(1/R1-1/R11)*(1/R2-1/R22)*(sin(th)^2))^(1/2) A=1/4*(1/R1+1/R2+1/R11+1/R22)-1/4*((1/R1+1/R2-1/R11-1/R22)^2 - 4*(1/R1-1/R11)*(1/R2-1/R22)*(sin(th)^2))^(1/2) Del=2*(1-v^2)/(E*(A+B)) BAr=B/A Cb=0.32 k=0.075 Cs=1.00 Ct=0.3 Cg=0.27 Cz=0.78 b=Cb*(P*Del)^(1/3) a=b/k br=b/Del S_max=-Cs*br tau_max=Ct*br tau_oct=Cg*br Zs=Cz*b tauo=0.486*b/(2*Del) Zo=0.41*b printf('b = %.4f mm',b) printf('\n a = %.3f mm',a) printf('\n b/Delta = %d MPa',br) printf('\n Sigma_max = %d MPa',S_max) printf('\n tau_max = %d MPa',tau_max) printf('\n tau_oct_max = %d MPa',tau_oct) printf('\n Zs = %.3f mm',Zs) printf('\n Tau_0 = %d MPa',tauo) printf('\n Zo = %.3f mm',Zo) // part (b) tau_oY=sqrt(2)*Y/3 Py = 1/Del*(tau_oY/(Cg*Cb)*Del)^3 printf('\n part (b)') printf('\n P_Y = %d N',Py) SF=Py/P printf('\n SF = %.2f ',SF)
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//clc() //0.0003*x1 + 3*x2 = 2.0001 //1*x1 + 1*x2 = 1 a11 = 0.000; //multiplying first equation by 1/0.0003, we get, x1 + 10000*x2 = 6667 x2 = (6667-1)/(10000-1); x1 = 6667 - 10000*x2; disp(x2,"x2 = ") disp(x1,"x1 = ") disp("The error varies depending on the no. of significant figures used")
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clc // Given That R = 1 // radius of curvature of lens of both side in meter lambda = 5.4e-7 // wavelength of monochromatic light in meter // Sample Problem 46 on page no. 1.56 printf("\n # PROBLEM 46 # \n") n1 = 5 // for 5th dark ring n2 = 15 // for 10th dark ring r1 = sqrt((n1*lambda)/(1/R + 1/R)) // calculation for radius of 5th dark ring r2 = sqrt((n2*lambda)/(1/R + 1/R)) // calculation for radius of 15th dark ring d = r2 - r1 // calculation for distance between 5th and 15th dark ring printf("\n Standard formula used \n r = sqrt((n*lambda)/(1/R + 1/R)). \n") printf("\n Distance between 5th and 15th dark ring = %f cm.",d * 100)
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//example 2.36(b)// //subtraction of hexadecimal numbers// clc //clears the screen// clear //clears already existing variables// x=hex2dec('C0') //hexadecimal to decimal conversion// y=hex2dec('7A') z=x-y //subtraction// a=dec2hex(z) //decimal to hexadecimal conversion// b=dec2bin(z) //decimal to binary conversion// disp('answer in hexadecimal form is:') disp(a) //answer in hexadecimal form// disp('answer in binary form is:') disp(b) //answer in binary number//
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//Calculations on six cylinder diesel engine clc,clear //Given: n=6 //Number of cylinders function bp=f(W),bp=W*N/20000,endfunction //Power law of engine d=95,l=120 //Bore and stroke in mm N=2400 //Engine speed in rpm C_H=83/17 //Carbon Hydrogen ratio by mass in fuel d_o=30 //Diameter of orifice in mm Cd=0.6 //Orifice coefficient of discharge P=550 //Net load on brake in N P1=750 //Ambient pressure in mm of Hg T1=25+273 //Ambient temperature in K deltaP_o=14.5 //Head over orifice in cm of Hg s=0.831 //Specific gravity of fuel t=19.3 //Time to use 100 cc fuel in s V_f=100 //Volume of fuel used in t seconds in cc //Solution: //(a) bp=f(P) //Brake power at brake load in kW A=%pi/4*d^2*10^-6 //Area of cylinder in m^2 bmep=bp*1000/(n*l/1000*A*N/(2*60)) //Brake mean effective pressure in Pascal //(b) T=bp*1000/(2*%pi*(N/60)) //Brake torque in Nm //(c) rho_f=s*1000 //Fuel density in kg/m^3 m_f=V_f*10^-6/t*3600*rho_f //Fuel flow rate in kg/hr bsfc=m_f/bp //Brake specific fuel consumption in kg/kWh //(e) R=0.287 //Specific gas constant in kJ/kgK P1=P1/760*1.01325 //Ambient pressure in bar rho_a=P1*10^5/(R*10^3*T1) //Mass density of air in kg/m^3 deltaP_o=13.6*1000*9.81*deltaP_o/100 //Pressure drop across orifice in N/m^2 A_o=%pi/4*d_o^2*10^-6 //Area of orifice in m^2 V_a=Cd*A_o*sqrt(2*deltaP_o/rho_a) //Air inhaled in m^3/s V_s=(%pi/4)*d^2*l*n*N/(2*60)*10^-9 //Swept volume in m^3/s eta_vol=V_a/V_s //Volumetric efficiency //(d) pH=17,pC=pH*C_H //Percentage of Hydrogen and Carbon in fuel pO=23.3 //Percentage of Oxygen in air H=1,C=12,O=16 //Atomic masses of Hydrogen, Carbon, Oxygen in gm mO2=pC/100*(2*O/C)+pH/100*(O/(2*H)) //Oxygen required in kg/kg of fuel m_a=mO2/(pO/100) //Mass of air in kg/kg of fuel A_F_t=m_a //Theoritical air fuel ratio m_a_act=V_a*rho_a //Actual air mass flow rate in kg/s A_F_act=m_a_act/m_f*3600 //Actual air fuel ratio P_e=(A_F_act-A_F_t)/A_F_t*100 //Percentage excess air //Results: printf("\n (a)The brake mean effective pressure, bmep = %.3f bar",bmep*10^-5) printf("\n (b)The brake torque, T = %.1f Nm",T) printf("\n (c)The brake specific fuel consumption, bsfc = %.3f kg/kWh",bsfc) printf("\n (d)The percentage excess air = %.1f percent",P_e) printf("\n (e)The volumetric efficiency, eta_vol = %.1f percent\n\n",eta_vol*100)
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// // // A <=> B clear A0=1 B0=0 K=10 function eq=model(u) A=u(1) B=u(2) eq(1)=B/A-K eq(2)=A+B-A0 endfunction [conc,v,info]=fsolve([0.5;0.5],model) disp(conc) disp(info) disp(conc(1)+conc(2)) // // // A <=> 2B clear A0=1 B0=0 K=10 function eq=model(u) A=u(1) B=u(2) eq(1)=B/A-K eq(2)=A + 2*B - A0 endfunction [conc,v,info]=fsolve([0.5;0.5],model) disp(conc) disp(info) //sprawdzenie disp(conc(1)+conc(2)*2) clear // // // A <=> 2B , K1 // A <=> C , K2 clear A0=1 B0=0 C0=0 K1=10 K2=20 function eq=model(x) A=x(1) B=x(2) C=x(3) eq(1)=B/A-K1 eq(2)=C/A-K2 eq(3)=A+0.5*B+C-A0 endfunction [conc,v,info]=fsolve([0.5;0.5;0.5],model) disp(conc) disp(info) disp('sprawdzenie:') disp(conc(1)+conc(2)/2+conc(3)) // A <=> B + C // A0 = 2 // K = 1e-5 clear function eq = model(u) A = u(1) B = u(2) C = u(3) A0 = 2 K = 1e-3 eq(1) = K - (B*C)/A eq(2) = A0 - A - B eq(3) = A0 - A - C endfunction guess = [1;1;1] [r,v,i] = fsolve(guess, model) disp(r) disp(v) disp(i) // HA <=> H + A // H2O <=> H + OH // CA0 = 0.1 // Ka = 1e-5 // Kw = 1e-14 clear function eq = model(u) H = u(1) A = u(2) OH = u(3) HA = u(4) CA0 = 0.1 Ka = 1.86e-5 Kw = 1e-14 eq(1) = Ka - (H*A)/HA eq(2) = CA0 - A - HA eq(3) = Kw - H*OH eq(4) = H - OH - A endfunction guess = [1e-5;1e-5;1e-5;1e-5] [r,v,i] = fsolve(guess, model) disp(r) disp(v) disp(i) H = r(1) //pH disp(-log10(H)) //pH roztworu kwasu siarkowego (IV) clear c_h2so3 = 0.01 //M Ka1=0.017 Ka2=10^-7.19 Kw=1e-14 function eq = model(u) //lista jonow i obojetnych cz. => 4 h=u(1) oh=u(2) h2a=u(3) ha=u(4) a=u(5) //iloczyn jonowy wody eq(1)=h*oh-Kw //bilans ladunku eq(2)=h-2*a-ha //bilans kwasu eq(3)=h2a+ha+a-c_h2so3 //dysocjacja kwasu 1 eq(4)=(ha*h)/h2a-Ka1 //dysocjacja kwasu 2 eq(5)=(a*h)/ha-Ka2 endfunction [conc,v,info]=fsolve([1e-2; 1e-2; 1e-2; 1e-2; 1e-2], model) pH=-log10(conc(1)) disp(pH) // Obliczyć jaką objętość toluenu i heksanu należy zmieszać aby // otrzymać Vtotal roztworu o zadanym ułamku molowym toluenu xt clear Vtotal=100 xt=0.8 //masy molowe Mh=86 Mt=92 //gęstości roh=0.65 rot=0.86 //guess //Vt=50 //Vh=50 function eq = mix(u) Vt=u(1) Vh=u(2) //ilości moli nt=(rot*Vt)/Mt nh=(roh*Vh)/Mh //równania eq(1) = nt/(nt+nh)-xt eq(2) = Vt+Vh-Vtotal endfunction V=fsolve([50;50], mix) Vt=V(1) Vh=V(2) printf("Aby przygotować %f ml mieszaniny o xt=%f \n",Vtotal, xt) printf("Należy zmieszać: %f ml toluenu i %f ml heksanu", Vt, Vh)
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Chapter2_Example15.sce
clc clear //INPUT DATA //CH4 + 2O2 + 7.52N2=CO2 + 2H2O + 7.52N2 ;//Combustion equation with liquid water in the products t1=278;//atmospheric temperature t2=1000;//products temperature p1=1;//atmospheric pressure hfco2=-393520;//Acc.to tables with liquid water in the products enthalpy of CO2 hfh2o=-285830;//Acc.to tables with liquid water in the products enthalpy of H2O hfch4=-74850;//Acc.to tables with liquid water in the products enthalpy of CH4 hfco21=-393520;///Acc.to tables with water vapour in the products enthalpy of CO2 hfh2o1=-241820;//Acc.to tables with water vapour in the products enthalpy of H2O hfch41=-74850;//Acc.to tables with water vapour in the products enthalpy of CH4 h21co2=33368;//Acc.to tables at 1000 K ,1 atm with water vapour in the products enthalpy of CO2 h21h2o=25978;//Acc.to tables at 1000 K ,1 atm with water vapour in the products enthalpy of H2O h21n2=21468;//Acc.to tables at 1000 K ,1 atm with water vapour in the products enthalpy of N2 //CALCULATIONS hrp=1*hfco2+2*hfh2o-hfch4;//enthalpy of reactants and products in kJ/kmol hrpCH4=hrp/16.04;//Enthalpy of combustion of gaseous methane with liquid water in the products in kJ/kg hrp1=1*hfco21+2*hfh2o1-hfch41;//enthalpy of reactants and products in kJ/kmol hrpCH41=hrp1/16.04;//Enthalpy of combustion of gaseous methane with water vapour in the products in kJ/kg hrp2=1*(hfco21)+(h21co2)+2*(h21h2o)+2*(hfh2o)+7.52*(h21n2)-1*(hfch4);//enthalpy of reactants and products in kJ/kmol hrpCH42=hrp2/16.04;//Enthalpy of combustion of gaseous methane at 1000 K ,1atm with water vapour in the products in kJ/kg dhco2=(42769-9364);//From tables both reactants and products enthalpy dhh2o=(35882-9904);//From tables both reactants and products enthalpy dho2=(31389-8682);//From tables both reactants and products enthalpy dhch4=38189;//From tables both reactants and products enthalpy hrp3=1*(hfco2+dhco2)+2*(hfh2o1+h21h2o)-(hfch41+dhch4)-2*(dho2);//enthalpy of reactants and products in kJ/kmol hrpCH43=hrp3/16.04;//Enthalpy of combustion of gaseous methane at 1000 K ,1atm with water vapour and liqid water in the products in kJ/kg //OUTPUT printf('(i)Enthalpy of combustion of gaseous methane with liquid water in the \n products %3.2f kJ/kg of fuel\n(ii)Enthalpy of combustion of gaseous methane with water \n vapour in the products %3.2f kJ/kg of fuel\n ',hrpCH4,hrpCH41) printf('(iii)Enthalpy of combustion of gaseous methane at 1000 K ,1atm \n with water vapour in the products is %3.3f kJ/kg of fuel\n(iv)Enthalpy of combustion of gaseous methane at 1000 K ,1atm \n with water vapour and liqid water is the products is %3.2f kJ/kg of fuel',hrpCH42,hrpCH43)
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//chapter 7 printf("\n"); fcre=2.5*10^6; fcrf=8.5*10^6; Nmaxe=(fcre)^2/81; Nmaxf=(fcrf)^2/81; printf("the Nmax for e layer is %g /m^3",Nmaxe); printf("\n the Nmax for f layer is %g /m^3",Nmaxf);
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//1.25 clc; L=0.1*10^-3; Vc=100; C=10*10^-6; IL=10; t_off=Vc*C/IL*10^6; printf("Commutation time= %.0f us",t_off) disp('The commutation time of the thyristor is more than the turn off time of the main thyristor i.e. 25us and is thus sufficient to commutate the main thyristor') IC_peak= Vc*(C/L)^0.5; printf("Peak capacitor current= %.2f A",IC_peak) disp('The maximum current rating of the thyristor should be more than 31.62A')
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ex11_10_b.sce
//Example 11.10(b) clc; //Given values of bridge elements R3=100; C2=100*10^-12; R4=300; C4=0.5*10^-6; f=50; //frequency in Hz //Value of R1 for Schering's Bridge R1=C4*R3/C2; //Value of C1 for Schering's Bridge C1=C2*R4/R3; //Dissipation factor D=2*%pi*f*C1*R1; printf('\nValue of resistence is %d ohm',R1) disp(C1,'Value of Capacitance is ') printf('\nDissipation factor for Schering bridge is %.4f ',D )
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function [x,t] = ann_pat_shuffle(x,t) // This file is part of: // ANN Toolbox for Scilab 5.x // Copyright (C) Ryurick M. Hristev // updated by Allan CORNET INRIA, May 2008 // released under GNU Public licence version 2 // shuffles the patterns from "x" and the corresponding "t" // see ANN_GEN (help) // no. of patterns P = size(x,'c'); my_rand = ceil(P * rand(P,1)); for p = 1 : P // shuffle x temp = x(:,my_rand(p)); x(:,my_rand(p)) = x(:,p); x(:,p) = temp; // shuffle t same way (keep x(:,p) <-> t(:,p) correspondence) temp = t(:,my_rand(p)); t(:,my_rand(p)) = t(:,p); t(:,p) = temp; end; endfunction
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//to determine the reduction of flux/pole due to armature rxn clc; V=250; R_a=.7; function [phi]=arxn(I_a,n) phi=(V-I_a*R_a)/n; endfunction phinl=arxn(1.6,1250); disp(phinl,'flux/pole no load'); phil=arxn(40,1150); disp(phil,'flux/pole load'); d=(phinl-phil)*100/phinl; disp(d,'reduction in phi due to armature rxn(%)');
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V=300;I=540;Angle=45; t0=0:0.1:%pi; t=0; integrate('540*sin((x-45*%pi/180))','x',t,t0)/%pi Is=242.89; Ps=V*I Vo1=(4*V)/(%pi*sqrt(2)) Pout=Vo1*Io/sqrt(2)*cos(%pi*Angle/180)
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// Scilab Code Ex6.1:: Page-6.19 (2009) clc; clear; T = 300; // Temperature of pure semiconductor, K n_i = 2.5e+019; // Intrinsic carrier density, per metre square e = 1.6e-019; // Charge on an electron, C mu_e = 0.39; // Mobility of electrons, Sq.m/V/s mu_h = 0.19; // Mobility of holes, Sq.m/V/s sigma_i = e*n_i*(mu_e+mu_h); // Conductivity of intrinsic semiconductor at 300 K, mho/m rho_i = 1/sigma_i; // Resistivity of intrinsic semiconductor at 300 K, ohm-m printf("\nThe resistivity of intrinsic semiconductor at 300 K = %4.2f ohm-m", rho_i); // Result // The resistivity of intrinsic semiconductor at 300 K = 0.43 ohm-m
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//(Design against Static Load) Example 4.1 //Refer Fig.4.10 on page 85 //Tensile force acting on two plates P (kN) P = 50 //Tensile yield strength of the plates Syt (N/mm2) Syt = 250 //Factor of safety fs fs = 2.5 //Number of rivets n n = 3 //Length of plate L (mm) L = 200
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//---------------------------// // Compute a cost function over a time horizon // With a free 3d camera // Created 11/12 updated 27 july 2012 // Etude pour ICRA 2012 // Dune // Note : // On etudie le lien entre dx/dt=(dotp dotu) et v=(v, w) //---------------------------// getd("src/transformation") posecMo_m = [0 0 1 0*%pi/180 0*%pi/180 0*%pi/180] cMo_m = homogeneousMatrixFromPos(posecMo_m); oMc_m = inv(cMo_m); poseoMc_m = pFromHomogeneousMatrix(oMc_m)'; // petit deplacement de la camera dans le repere de l'objet Delta = [0 0. 0. 0.001 0.002 0.003]; dt = 1/25; dotx = Delta / dt; dotu = Delta (4:6)'/dt; dotp = Delta (1:3)'/dt; disp('deltaX par definition') disp(Delta) disp('dotX par definition') disp(dotx) //-----On cherche v qui produit le meme deplacement sur dt-------- // la matrice de rotation qui nous interesse ici est celle qui est construite // parti des Euler Angle Rate cRo = cMo_m(1:3,1:3) r = RxRyRzfromRotationMatrix(cRo);//camera dans objet //a=r(3); //b=r(2); //c=r(1); //R1= [cos(a)*cos(b) cos(a)*sin(b)*sin(c)-sin(a)*cos(c) cos(a)*sin(b)*cos(c)+sin(a)*sin(c) // sin(a)*cos(b) sin(a)*sin(b)*sin(c)+cos(a)*cos(c) sin(a)*sin(b)*cos(c)-cos(a)*sin(c) // -sin(b) cos(b)*sin(c) cos(b)*cos(c)]; //R=[cos(a)*cos(b) -sin(a)*cos(b) sin(b) // cos(c)*sin(a)+sin(c)*sin(b)*cos(a) cos(a)*cos(c)-sin(c)*sin(a)*sin(b) -sin(c)*cos(b) // sin(a)*sin(c)-cos(c)*sin(b)*cos(a) cos(a)*sin(c)+cos(c)*sin(a)*sin(b) cos(b)*cos(c)]; // on calcul la matrice E pour obtenir w dans le repere objet oT = eulerAngleRatesMatrix(r); ow = oT*dotu; ow = ow .*(ow >100*%eps); //disp('Eijk'); //disp(oT); //disp('w dans le repere objet'); //disp(ow); // on calcul la matrice conjuguee pour obtenir w dans le repere camera cT = eulerAngleRatesConj(r); cw = cT*dotu; cw =cw .*(cw >100*%eps); //Rtest=cT*inv(oT); //disp('Rtest') //disp(Rtest) //Rtest2=oT*inv(cT); //disp('Rtest2') //disp(Rtest2) //disp('Eijk conj'); //disp(cT); //disp('w dans le repere camera'); //disp(cw); //verif : //winv2 = cRo*ow; //disp ('verif on doit retrouver cw'); //disp (winv2); //pause // dans le repere objet : ov = [dotp ; ow]; disp('vitesse exprimee dans le repere objet') disp(ov) Lx = computeLxInObj(cMo_m); ov = Lx*dotx'; disp('vitesse exprimee dans le repere objet en utilisant Lx') disp(ov) //translation = cMo_m(1:3,4); //tx = skew(translation); //cv = [cRo*dotp+tx*cw;cw]; //disp('vitesse exprimee dans le repere camera') //disp(cv) Lx = computeLxInCam(cMo_m); cv = Lx*dotx'; disp('vitesse exprimee dans le repere camera en utilisant Lx') disp(cv) //cv3 = cameraVelFromDeltaX(cMo_m, Delta', dt); //disp('vitesse exprimee dans le repere camera en utilisant Fonction') //disp(cv3) cVo_m=twistMatrix(cMo_m); camv = cVo_m*ov; disp('vitesse dans le repere de la camera en utilisant cVo'); disp(camv) pause //-----TESTS-------// //--- Build the target a_m = 0.30; // dimension of the target oP_m = mire5points(a_m); // create the Npbts Points Target Nbpts_m = length(oP_m)/3 ; //--- compute the init projection on the view cP_m = changeFrameMire(oP_m,cMo_m); s_m = projectMireDirect(cP_m); Z_m = cP_m(3:3:$) ; // ------ Delta est un ajout a la pose courante de la camera ----// poseoMcm_m = poseoMc_m+Delta; disp('Position d arrivee en utilisant ce petit dx') disp('poseoMcm_m = poseoMc_m+Delta;') disp(poseoMcm_m) // ----- Appliquons la vitesse camera pendant dt vitesse = cv; cMcm_m = expMapDirectThetaU(vitesse,dt); //cMcm_m = expMapDirectRxRyRz(vitesse',dt); vexpMap = expMapInverse(cMcm_m,dt); //vexpMap = expMapInverseRxRyRz(cMcm_m,dt); disp('vitesse camera retrouvee') disp(vexpMap) posecMcm_m = pFromHomogeneousMatrix(cMcm_m)'; disp('deplacement de la cam dans le repere cam si on applique cv') disp(posecMcm_m) oMcm_m = oMc_m*cMcm_m; poseoMcm_m = pFromHomogeneousMatrix(oMcm_m)'; disp('pose d arrivee obtenu par deplacement de la camera') disp(poseoMcm_m) cmP_m = changeFrameMire(oP_m,inv(oMcm_m)); sm_m = projectMireDirect(cmP_m); Zm_m = cmP_m(3:3:$) ; L_m = matIntMireC(s_m,Z_m); DeltacXest = pinv(L_m*Lx)*(sm_m-s_m);///dt; DeltacXest2= pinv(L_m)*(sm_m-s_m);///dt; disp('DeltaX_m') disp(DeltacXest) disp('DeltacXest 2') disp(DeltacXest2) disp('dots=(sm_m-s_m)/dt') disp(((sm_m-s_m))'/dt) disp('dots=Lv') disp((L_m*vitesseL)') disp('----Idem en O----') vitesse = ov; cMcm_m = expMapDirectThetaU(vitesse,dt); //cMcm_m = expMapDirectRxRyRz(vitesse',dt); vexpMap = expMapInverse(cMcm_m,dt); //vexpMap = expMapInverseRxRyRz(cMcm_m,dt); disp('vitesse camera retrouvee') disp(vexpMap) posecMcm_m = pFromHomogeneousMatrix(cMcm_m)'; disp('deplacement de la cam dans le repere cam si on applique cv') disp(posecMcm_m) oMcm_m = oMc_m*cMcm_m; poseoMcm_m = pFromHomogeneousMatrix(oMcm_m)'; disp('pose d arrivee obtenu par deplacement de la camera') disp(poseoMcm_m)
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function h=%r_v_r(h1,h2) // %r_v_r(h1,h2)=(I+h1*h2)\h1. h1 and h2 rational matrices //! // Copyright INRIA [h1,h2]=sysconv(h1,h2), [m1,n1]=size(h1(2)) [m2,n2]=size(h2(2)) if abs(n1-m2)+abs(m1-n2)<>0 then error('inconsistent dimensions'),end if m1*n1==1 then h=h1;h(2)=h1(2)*h2(3);h(3)=h1(2)*h2(2)+h1(3)*h2(3); else h=(eye(m1,m1)+h1*h2)\h1 end
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d1 = 0.06 ; // Inner diameter in meter d2 = 0.08 ; // Outer diameter in meter r = d2/2; // Outer radius G = 27e09 ; // Modulus of elasticity T = 4000 ; // Torque in N-m Ip = (%pi/32)*((d2^4)-(d1^4)); // Polar moment of inertia t_max = (T*r)/Ip ; // maximum shear stress disp("Pa",t_max,"Maximum shear stress in tube is ") s_t = t_max ; // Maximum tensile stress disp("Pa",s_t,"Maximum tensile stress in tube is ") s_c = -(t_max); // Maximum compressive stress disp("Pa",s_c,"Maximum compressive stress in tube is ") g_max = t_max / G ; // Maximum shear strain in radian disp("radian",g_max,"Maximum shear strain in tube is ") e_t = g_max/2 ; // Maximum tensile strain in radian disp("radian",e_t,"Maximum tensile strain in tube is ") e_c = -g_max/2 ; // Maximum compressive strain in radian disp("radian",e_c,"Maximum compressive strain in tube is ")
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//Variable declaration l = [19.7, 21.5, 22.5, 22.2, 22.6,21.9, 20.5, 19.3, 19.9, 21.7,22.8, 23.2, 21.4, 20.8, 19.4,22.0, 23.0, 21.1, 20.9, 21.3] sum1 = 0.0 //Calculation Mean=sum(l)/length(l) for i = 1:length(l) sum1 = sum1 + l(i)*l(i) end variance = (sum1 - (sum(l)^2.0/length(l)))/(length(l)-1) // variance //Results printf ( "mean : %.3f mpg",Mean) printf ( "variance : %.3f",variance )
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main { int a; boolean b; statements return }
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// Scilab Code Ex9.7 :Page:285 (2006) clc; clear; Lambda_0 = 390; // Penetration depth at absolute zero, angstorm T_c = 7; // Transition temperature of Pb, K T = 2; // Givn temperature, K Lambda = Lambda_0*[1-(T/T_c)^2]^(-1/2); // London penetration depth in Pb at 2K, angstorm printf("\nThe London penetration depth in Pb at 2K = %7.4f angstorm", Lambda); printf("\nThe London penetration depth at T = T_c becomes %d", %inf); // Result // The London penetration depth in Pb at 2K = 406.9644 angstorm // The London penetration depth at T = T_c becomes Inf
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function mdaq_pwm_write(link_id, module, channel_a, channel_b) if link_id < 0 then disp("Wrong link ID!") return; end if module > 3 | module < 1 then disp("Wrong PWM module!") return; end if channel_a > 100 | channel_a < 0 then disp("WARNING: Channel A duty outside the limit (0-100)!"); if channel_a > 100 then channel_a = 100; end if channel_a < 0 then channel_a = 0; end end if channel_b > 100 | channel_b < 0 then disp("WARNING: Channel B duty outside the limit (0-100)!"); if channel_b > 100 then channel_b = 100; end if channel_b < 0 then channel_b = 0; end end result = []; result = call("sci_mlink_pwm_set",.. link_id, 1, "i",.. module, 2, "i",.. channel_a, 3, "d",.. channel_b, 4, "d",.. "out",.. [1, 1], 5, "i"); if result < 0 then mdaq_error(result) end endfunction
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// Example 2.12.1 clc; clear; a=4.5d-6; //core diameter delta=0.25/100; //relative index difference lamda=0.85d-6; //operating wavelength n1=1.46; //core refractive index v= 2*%pi*a*n1*sqrt(2*delta)/lamda; //computing normalized frequency lamda_cut_off=v*lamda/2.405; //computing cut off wavelength lamda_cut_off=lamda_cut_off*10^9; printf("\nCut off wavelength is %.d nanometer.",lamda_cut_off); printf("\n\nWhen delta is 1.25 percent-"); delta=1.25/100; v= 2*%pi*a*n1*sqrt(2*delta)/lamda; //computing normalized frequency lamda_cut_off=v*lamda/2.405; //computing cut off wavelength lamda_cut_off=lamda_cut_off*10^7; lamda_cut_off=round(lamda_cut_off); lamda_cut_off=lamda_cut_off*100; printf("\nCut off wavelength is %.d nanometer.",lamda_cut_off); //answer in the book for cut off wavelength in the book is given as 1214nm, deviation of 1nm.
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clc //initialisation of variables clear T= 100 //C j= 0.0242 //cal cc^-1 atm6-1 k= 539 //cal g^-1 p= 1664 //cc g^-1 //CALCULATIONS r= (273.2+T)*(p-1)*j/k //RESULTS printf ('Rise in temperature per unit of pressure= %.1f deg atm^-1',r)
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clc // // // //Variable declaration theta1=12 //rotation of plane l1=2 //length theta2=24 //rotation of plane l2=3 //length c1=0.08 //Concentration //Calculations s=((theta1)/(l1*c1)) c2=((theta2)/(s*l2)) Ms=10*10*10*c2 Ms2=Ms*2 //Result printf("\n The Mass of sugar dissolved in 2 liter of water for optical rotation 24 deg is %3.1f gm",Ms2)
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clc Eg=-1.1 disp("Eg = "+string(Eg)+"V") //initializing value of energy gap. Vf1=0.6 disp("Vf1 = "+string(Vf1)+"V") //initializing value of forward voltage for case 1. T1=300 disp("T1 = "+string(T1)+"K") //initializing value of temperature for case 1. T2=310 disp("T2 = "+string(T2)+"K") //initializing value of temperature for case 2 . Vf2=(((Eg+Vf1)*T2)/(T1))-Eg disp("Forward voltage for case 2,Vf2=((Eg+Vf1)*T2)/(T1)+Eg)="+string(Vf2)+" V")//calculation.
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// chapter 6 // example 6.30 // Compute the average generator voltage // page-373 clear; clc; // given E=415; // in V (supply voltage per phase) f=50; // in Hz (supply frequency) X_L=0.3; // in ohm (source reactance) R=0.05; // in ohm (resistance per phase) V_drop_Thyristor=1.5; // in V (voltage drop across Thyristor) Id=60; // in A (continuous load current) Beta=35; // in degree (firing advance angle) u=0; // in degree (overlap angle at no load) // calculate V_drop_reactance=(3*X_L/%pi)*Id; // voltage drop due to overlap V_drop_Thyristors=2*V_drop_Thyristor; // voltage drop due to SCRs V_drop_resistance=2*R*Id; // voltage drop due to supply resistance Emph=E*sqrt(2/3);// calculation of peak voltage Edc_noload=-((3*sqrt(3)/%pi)*Emph*cosd(u-Beta));// calculation of average voltage at no load Edc=abs(Edc_noload-V_drop_Thyristors-V_drop_reactance-V_drop_resistance);// calculation of average generator voltage printf("\nThe average generator voltage is Edc=%.2f V",Edc); // Note: The answers vary slightly due to precise calculation upto 6 decimal digits
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clc; //page no 573 //prob no. 16.6 //ERP of Tx statn=17W ERP=17; //Determnation of EIRP ERP_dBm=10*log10(ERP/10^-3);//Converting ERP in dBm EIRP_dBm=ERP_dBm+2.14;//Converting ERP in EIRP disp('dBm',EIRP_dBm,'EIRP in dBm is expressed as');
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clear;lines(0); A=diag([-1,-2,-3]);B=rand(3,2); Wc=ctr_gram(A,B) U=rand(3,3);A1=U*A/U;B1=U*B; Wc1=ctr_gram(A1,B1) //Not invariant!
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clc Ndc = 5*10^15 disp("Ndc= "+string(Ndc)+"cm^-3")//inializing value of collector doping Nab = 5*10^16 disp("Nab= "+string(Nab)+"cm^-3")//inializing value of base doping ni = sqrt(2.25*10^20) disp("ni = "+string(ni)+"cm^-3") //initializing value of electron density of ionisation electron for silicon kbT = 0.026 disp("kbT = "+string(kbT)+"eV/K") //initializing value of thermal voltage at 300K e = 1.6*10^-19 disp("e= "+string(e)+"C")//initializing value of charge of electron Vbi= (kbT)*((log((Nab*Ndc)/(ni^2)))) disp("The built in voltage is ,Vbi= (kbT)*((log((Na*Nd)/Ni^2)))= "+string(Vbi)+"V")//calculation disp(" for an applied bias of 1 V ") VCB1 = 1 disp("VCB = "+string(VCB1)+" V")//initializing value of Collector-base bias voltage apsilent_s = 11.9*8.85*10^-14 disp("apsilent_s = "+string(apsilent_s)+"F/cm") //initializing value of relative permitivity Wb = 10^-4 disp("Wb= "+string(Wb)+"cm")//initializing value of base width dWb1 = sqrt((2*apsilent_s*(Vbi+VCB1)*Ndc)/(e*Nab*(Nab+Ndc))) disp("The extent of depletion into the base side is,dWb = sqrt((2*apsilent_s*(Vbi+Vcb1)*Ndc)/(e*Nab*(Nab+Ndc))) = "+string(dWb1)+"cm")//calculation Wbn1 = Wb-dWb1 disp("The neutral base width is,Wbn = Wb-dWb1= "+string(Wbn1)+"cm")//calculation nbo = ((ni)^2)/Nab disp("The required base doping is,nbo = (ni^2)/Nab = "+string(nbo)+"cm^-3")//calculation Db = 20 disp("Db= "+string(Db)+"cm^2/s")//initializing value of diffusion coefficient in the base VBE = 0.7 disp("VBE= "+string(VBE)+"V")//initializing value of base-Emitter bias voltage Jc1 = ((e*Db*nbo)/Wbn1)*(exp(VBE/kbT)) disp("The collector current density is,Jc = ((e*Db*nbo)/Wbn)*(exp((e*VBE)/kbT))= "+string(Jc1)+"A/cm^2")//calculation disp(" for an applied bias of 5 V ") VCB2 = 5 disp("VCB = "+string(VCB2)+" V")//initializing value of Collector-base bias voltage VCE1= VCB1+VBE disp("The collector emitter voltage is ,VCE= VCB+VBE= "+string(VCE1)+" V")//calculation VCE2= VCB2+VBE disp("The collector emitter voltage is ,VCE= VCB+VBE= "+string(VCE2)+" V")//calculation dWb2 = sqrt((2*apsilent_s*(Vbi+VCB2)*Ndc)/(e*Nab*(Nab+Ndc))) disp("The extent of depletion into the base side is,dWb = sqrt((2*apsilent_s*(Vbi+Vcb1)*Ndc)/(e*Nab*(Nab+Ndc))) = "+string(dWb2)+"cm")//calculation Wbn2 = Wb-dWb2 disp("The neutral base width is,Wbn = Wb-dWb1= "+string(Wbn2)+"cm")//calculation Jc2 = ((e*Db*nbo)/Wbn2)*(exp(VBE/kbT)) disp("The collector current density is,Jc = ((e*Db*nbo)/Wbn)*(exp((e*VBE)/kbT))= "+string(Jc2)+" A/cm^2")//calculation VA = (Jc1/((Jc2-Jc1)/(VCE2-VCE1)))-(VCE1) disp("The Early voltage is,VA = (Jc1/((Jc2-Jc1)/(VCE2-VCE1)))-(VCE1)= "+string(VA)+"V")//calculation // Note : due to different precisions taken by me and the author ... my answer differ by "0.2" value.
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HarmonicObjects.SCI
codeblock readtextfile(ScriptDir+"\_TOOLS.sci"); sf=T_scene_create; sss=T_getscene; sss.ambientlightcolor=color(0.15,0.15,0.15); ###################################################################################### # SETTINGS DIALOG BOX ###################################################################################### dsize=0.03; psy=0.95; controlids= list("fsa","psa","fca","pca","fsb","psb","fcb","pcb"); controls=list; cframe=root.SC.Universe.addscreenframe("Controls Frame"); cframe.EnabeMouseArrow(point(0.5,0.5),point(0,0),point(1,1),0.03); cframe.enablelight=false; cframe.BlendType=BlendTranslucent; cframe.DepthMask=DepthMaskDisable; cframe.color=color(1,1,1,0.5); foreach ctrlid in controlids do { cframe.add("TextControl","Size":dsize,"Position":point(0.01,psy),"Content":ctrlid); ctrl=cframe.add("ScalarControl","Size":dsize,"Position":point(0.09,psy)); ctrl.SizeX=0.04;ctrl.RangeSizeX=0.1; ctrl.min=0;ctrl.max=6;ctrl.step=1; ctrl.value=0; if ctrlid=="fsa" then ctrl.value=3; if ctrlid=="psa" then ctrl.value=2; if ctrlid=="fcb" then ctrl.value=4; if ctrlid=="pcb" then ctrl.value=2; psy=psy-0.05; controls.add(ctrl); } cframe.add("TextControl","Size":dsize,"Position":point(0.28,0.95),"Content":'Resolution'); resolctrl=cframe.add("ScalarControl","Size":dsize,"Position":point(0.28+0.12,0.95)); resolctrl.SizeX=0.08;resolctrl.RangeSizeX=0.1; resolctrl.min=30;resolctrl.max=200;resolctrl.step=10; resolctrl.value=70; calcbutton=cframe.add("ButtonControl","Size":dsize,"SizeX":0.11,"Position":point(0.28,0.9),"Content":'Calculate'); #Initialise variables fsa=0;psa=0;fca=0;pca=0;fsb=0;psb=0;fcb=0;pcb=0; function createobject() { refframe.clearobjects; rendermessage('Calculating'); resol=resolctrl.value; fsa=controls(0).value; psa=controls(1).value; fca=controls(2).value; pca=controls(3).value; fsb=controls(4).value; psb=controls(5).value; fcb=controls(6).value; pcb=controls(7).value; fnc=functor("radial2point(sin(fsa*a)^psa+cos(fca*a)^pca+sin(fsb*b)^psb+cos(fcb*b)^pcb,a,b)","a","b"); cfnc=functor("color(0.3*(@vector(p).size),0.5,1-0.3*(@vector(p).size))","p"); obj=refframe.add("Surface"); obj.renderback=true; obj.color=color(1,1,1); obj.SpecularValue=30; obj.SpecularColor=color(0.35,0.35,0.35); obj.canbuffer=true; obj.Generate(fnc,0,2*Pi,resol,-0.5*Pi,0.5*Pi,resol); obj.GenerateVertexProperty(cfnc,VertexPropertyColor); #make formula txtframe.clearobjects; txt=txtframe.add("FormattedText","Position":point(0.02,0.07),"Size":0.05,"Color":color(0.7,0.7,0.7),"MaxLenX":10); st="";const=0; if (fsa>0) and (psa>0) then { if st.length>0 then st=st+" + "; st=st+"sin"; if psa>1 then st=st+"^"+str(psa); if fsa>1 then st=st+" "+str(fsa); st=st+" \theta"; } else const=const+1; if (fca>0) and (pca>0) then { if st.length>0 then st=st+" + "; st=st+"cos"; if pca>1 then st=st+"^"+str(pca); if fca>1 then st=st+" "+str(fca); st=st+" \theta"; } else const=const+1; if (fsb>0) and (psb>0) then { if st.length>0 then st=st+" + "; st=st+"sin"; if psb>1 then st=st+"^"+str(psb); if fsb>1 then st=st+" "+str(fsb); st=st+" \phi"; } else const=const+1; if (fcb>0) and (pcb>0) then { if st.length>0 then st=st+" + "; st=st+"cos"; if pcb>1 then st=st+"^"+str(pcb); if fcb>1 then st=st+" "+str(fcb); st=st+" \phi"; } else const=const+1; if const>0 then { if st.length>0 then st=st+" + "; st=st+str(const); } txt.content=txt.content+"$"; txt.content="$R="+st+"$"; txt.enablelight=false; hiderendermessage; } refframe=sf.addsubframe("refframe"); refframe.transf.rotate(vector(1,0,0),Pi/2); txtframe=sf.addscreenframe("txtframe"); createobject; vp=root.Viewports.main; while true do { dr1=-1*vp.cameradir; dr2=vecnorm(dr1*vector(0,1,0)); dr3=vecnorm(dr1*dr2); sss.light0pos=point(0,0,0)+500*(dr1-dr2-0.5*dr3); if calcbutton.wasmodified then createobject; render; }
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4- newton CHECK.sci
function y=fea(x) y=(%e)^x+2 - x^3 endfunction //MÉTODO DE NEWTON-RAPHSON - //Según el x0 inicial puede o no converger, es un método LOCAL function c=newton1(f,x0,delta,niter) //niter: cantidad máxima de iteraciones //delta: tolerancia c=x0 for x=0:niter c= c - f(c)/numderivative(f,c) if (abs(f(c))<delta) then break end end endfunction function c=newton2(f,df,x0,delta,niter) //df es la derivada de primer orden de f. A veces conviene pasarla de argumento para minimizar errores. //niter: cantidad máxima de iteraciones //delta: tolerancia c=x0 i=0; while (abs(f(c))<delta & i<niter) c= c - f(c)/df(c) i=i+1 end endfunction function x0=newton_check(f,df,x0,delta,epsilon,maxit) for k=1:maxit x1=x0 - f(x0)/df(x0); err=abs(x1-x0) x0=x1; if (err<delta) | (abs(f(x0))<epsilon) then break end end endfunction
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//Exa 1.7 clc; clear; close; //given data format('v',7); NoOfPhase=3;//no of phase Eph=3300/sqrt(3);//in Volts f=50;//in Hz Poles=12;//No. of poles StatorSlots=144//No. of stator slots SlotsPerPhase=StatorSlots/NoOfPhase;//no. of slots/phase Conductors=5;//per slot ConductorsPerphase=SlotsPerPhase*Conductors;//Conductors/Phase S=ConductorsPerphase;//Conductors/phase SlotsPerPolePerPhase=SlotsPerPhase/Poles;//no. of slots/phase Kf=1.11;//Form Factor Kb=0.96;//Breadth Factor Kp=1;//For concentric winding fi=Eph/(2*Kf*Kb*Kp*S*f);//in weber disp(fi,"The Flux per pole in weber : ");
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clear // i=20 im=i/(1.414) //that is i*root 2 //the heat produced by i is the sum of heat produced by dc and ac current p=i**2 q=im**2 r=p+q I=(r**0.5) printf("\n I= %0.1f A",I)
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// Scilab code Ex6.14: Pg:262 (2008) clc;clear; mu_O = 1.544; // Refractive index for an ordinary beam mu_E = 1.553; // Refractive index for an extra-ordinary beam lambda = 6000e-08; // Wavelength of light, cm t = lambda/(2*(mu_E - mu_O)); // Thickness of doubly refracting crystal, cm printf("\nThe thinnest possible quartz = %4.2e cm", t); printf("\nThe thicknesses which would give the same result are %4.2e cm, %4.2e cm, %4.2e cm,...", t, 3*t, 5*t); // Result // The thinnest possible quartz = 3.33e-003 cm // The thicknesses which would give the same result are 3.33e-003 cm, 1.00e-002 cm, 1.67e-002 cm,...
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// Calculate natural frequency and setteling time clc; K=60*10^3; M=30; wn=(K/M)^0.5; disp(wn,'natural frequency (rad/sec)') eta=0.7; ts=4/(eta*wn); disp(ts,'setteling time (s)')
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ref_elt_test.sci
function [Eig_ref,Load_ref,Mat_ref] = ref_elt_test() // Elts tests with SDT5.1 st=makecell([1 20],'q4p','q8p','t3p','t6p',... 'hexa8','hexa20','penta6','penta15',... 'tetra4','tetra10','tria3','tria6',... 'quad4','quadb','quad9','bar1','flui4',... 'flui6','flui8','beam1'); // missing: mitc4, , beam3, , celas , q5p, q9a ,'dktp', Eig_ref = cell(28,2); Load_ref = cell(28,2); Mat_ref = cell(28,2); Eig_ref(:,1)=makecell([28 1],... '[model,def]=q4p(''testeig_0'');',... '[model,def]=q4p(''testeig_1'');',... '[model,def]=q4p(''testeig_2'');',... '[model,def]=q8p(''testeig_0'');',... '[model,def]=q8p(''testeig_1'');',... '[model,def]=q8p(''testeig_2'');',... '[model,def]=t3p(''testeig_0'');',... '[model,def]=t3p(''testeig_1'');',... '[model,def]=t3p(''testeig_2'');',... '[model,def]=t6p(''testeig_0'');',... '[model,def]=t6p(''testeig_1'');',... '[model,def]=t6p(''testeig_2'');',... '[model,def]=hexa8(''testeig'');',... '[model,def]=hexa20(''testeig'');',... '[model,def]=penta6(''testeig'');',... '[model,def]=penta15(''testeig'');',... '[model,def]=tetra4(''testeig'');',... '[model,def]=tetra10(''testeig'');',... '[model,def]=tria3(''testeig'');',... '[model,def]=tria6(''testeig'');',... '[model,def]=quad4(''testeig'');',... '[model,def]=quadb(''testeig'');',... '[model,def]=quad9(''testeig'');',... '[model,def]=bar1(''testeig'');',... '[model,def]=flui4(''testeig'');',... '[model,def]=flui6(''testeig'');',... '[model,def]=flui8(''testeig'');',... '[model,def]=beam1(''testeig'');'); Eig_ref(:,2)=makecell([28 1],... // 5 first frequencies [4.290291308356445e+002 1.029468636991385e+003 1.231617703770857e+003 ... 2.243426897960302e+003 2.623009060845864e+003],... [4.290291308356445e+002 1.029468636991385e+003 1.231617703770857e+003 ... 2.243426897960302e+003 2.623009060845864e+003],... [4.290291308356445e+002 1.029468636991385e+003 1.231617703770857e+003 ... 2.243426897960302e+003 2.623009060845864e+003],... [4.142427945181728e+002 1.026807469917128e+003 1.220302297159396e+003 ... 2.184430056407337e+003 2.611028503198020e+003],... [4.142427945181728e+002 1.026807469917128e+003 1.220302297159396e+003 ... 2.184430056407337e+003 2.611028503198020e+003],... [4.142427945181728e+002 1.026807469917128e+003 1.220302297159396e+003 ... 2.184430056407337e+003 2.611028503198020e+003],... [4.320148932501105e+002 1.033057952114468e+003 1.277577946848218e+003 ... 2.442645647088966e+003 2.726387923881986e+003],... [4.320148932501105e+002 1.033057952114468e+003 1.277577946848218e+003 ... 2.442645647088966e+003 2.726387923881986e+003],... [4.320148932501105e+002 1.033057952114468e+003 1.277577946848218e+003 ... 2.442645647088966e+003 2.726387923881986e+003],... [4.142816502365818e+002 1.026830998717464e+003 1.221167244359760e+003 ... 2.187347803907836e+003 2.613847849438219e+003],... [4.142816502365818e+002 1.026830998717464e+003 1.221167244359760e+003 ... 2.187347803907836e+003 2.613847849438219e+003],... [4.142816502365818e+002 1.026830998717464e+003 1.221167244359760e+003 ... 2.187347803907836e+003 2.613847849438219e+003],... [2.369319824534588e+002 4.432948705364461e+002 4.441539199366413e+002 ... 1.059701830480197e+003 1.333458699398739e+003],... [2.004436785427672e+002 4.123575690606958e+002 4.221692869112317e+002 ... 1.034895970117207e+003 1.062616448050249e+003],... [2.260921850720664e+002 4.449924104312450e+002 4.825413497306591e+002 ... 1.046548578081568e+003 1.263647980847690e+003],... [1.991636602919263e+002 4.105826286332820e+002 4.196672118522673e+002 ... 1.032662583673201e+003 1.052152322938195e+003],... [2.330521328094594e+002 4.325465214140272e+002 4.878360332092557e+002 ... 1.026220614384172e+003 1.152063012952191e+003],... [2.330521328094594e+002 4.325465214140272e+002 4.878360332092557e+002 ... 1.026220614384172e+003 1.152063012952191e+003],... [6.280657063801294e+000 1.791959245732961e+001 4.994096519040203e+001 ... 6.352001684174435e+001 7.733618138128993e+001],... 'error tria6',... [6.346021934348538e+000 1.829010649608402e+001 5.729190849598430e+001 ... 6.998476082340356e+001 8.617272848630813e+001],... [6.279510125347771e+000 1.777159655733382e+001 4.945133978014305e+001 ... 6.374728975055643e+001 7.693504846998744e+001],... 'error quad9',... [9.462764552681526e+001 3.305515251003152e+002 3.874255569492929e+002 ... 6.663461886157351e+002 1.020312082890833e+003],... [1.128916716519793e+003 1.395677509724138e+003 1.395677509724340e+003 ... 1.633056209189190e+003 2.108740158389825e+003],... [1.151386858774883e+003 1.385892352561525e+003 1.385892352561538e+003 ... 1.592071311791083e+003 2.015182364725996e+003],... [1.137891192596138e+003 1.382144188142123e+003 1.382144188142126e+003 ... 1.589291901269960e+003 2.091034987589612e+003],... [5.500532920947419e+000 1.692434891456080e+001 4.268331361883924e+001 ... 6.374319296752912e+001 8.902604694376785e+001]); Load_ref(:,1)=makecell([28 1],... '[model,def]=q4p(''testload_0'');',... '[model,def]=q4p(''testload_1'');',... '[model,def]=q4p(''testload_2'');',... '[model,def]=q8p(''testload_0'');',... '[model,def]=q8p(''testload_1'');',... '[model,def]=q8p(''testload_2'');',... '[model,def]=t3p(''testload_0'');',... '[model,def]=t3p(''testload_1'');',... '[model,def]=t3p(''testload_2'');',... '[model,def]=t6p(''testload_0'');',... '[model,def]=t6p(''testload_1'');',... '[model,def]=t6p(''testload_2'');',... '[model,def]=hexa8(''testload'');',... '[model,def]=hexa20(''testload'');',... '[model,def]=penta6(''testload'');',... '[model,def]=penta15(''testload'');',... '[model,def]=tetra4(''testload'');',... '[model,def]=tetra10(''testload'');',... '[model,def]=tria3(''testload'');',... '[model,def]=tria6(''testload'');',... '[model,def]=quad4(''testload'');',... '[model,def]=quadb(''testload'');',... '[model,def]=quad9(''testload'');',... '[model,def]=bar1(''testload'');',... '[model,def]=flui4(''testload'');',... '[model,def]=flui6(''testload'');',... '[model,def]=flui8(''testload'');',... '[model,def]=beam1(''testload'');'); Load_ref(:,2)=makecell([28 1],... // norm of rhs (sum) [3.726779962499650e-001],... [3.726779962499650e-001],... [3.726779962499650e-001],... [2.991758226185836e-001],... [2.991758226185836e-001],... [1.449654510422562e+000],... [3.726779962499650e-001],... [3.726779962499650e-001],... [3.726779962499650e-001],... [2.991758226185836e-001],... [2.991758226185836e-001],... [2.991758226185836e-001],... [4.599044706869436e-001],... [7.428519928701292e-001],... [3.612545291956079e-001],... [4.207492800372717e-001],... [2.905776397546601e-001],... [2.905776397546601e-001],... [2.069139172231414e+000],... 'error tria6',... [2.067877117114162e+000],... 'error quadb',... 'error quad9',... [1.108655439013544e-004],... 'error flui4',... 'error flui6',... 'error flui8',... [7.499033124746842e-005]); Mat_ref(:,1)=makecell([28 1],... 'k=q4p(''testmat_0'');',... 'k=q4p(''testmat_1'');',... 'k=q4p(''testmat_2'');',... 'k=q8p(''testmat_0'');',... 'k=q8p(''testmat_1'');',... 'k=q8p(''testmat_2'');',... 'k=t3p(''testmat_0'');',... 'k=t3p(''testmat_1'');',... 'k=t3p(''testmat_2'');',... 'k=t6p(''testmat_0'');',... 'k=t6p(''testmat_1'');',... 'k=t6p(''testmat_2'');',... 'k=hexa8(''testmat'');',... 'k=hexa20(''testmat'');',... 'k=penta6(''testmat'');',... 'k=penta15(''testmat'');',... 'k=tetra4(''testmat'');',... 'k=tetra10(''testmat'');',... 'k=tria3(''testmat'');',... 'k=tria6(''testmat'');',... 'k=quad4(''testmat'');',... 'k=quadb(''testmat'');',... 'k=quad9(''testmat'');',... 'k=bar1(''testmat'');',... 'k=flui4(''testmat'');',... 'k=flui6(''testmat'');',... 'k=flui8(''testmat'');',... 'k=beam1(''testmat'');'); Mat_ref(:,2)=makecell([28 1],... // First value of svd for K and M [3.102772713667655e+011 1.950000000000000e+003],... [3.800561035200435e+011 1.950000000000000e+003],... [1.612161301022247e+012 4.084070449666731e+003],... [9.823923670078130e+011 4.216337962957679e+003],... [1.162316292536501e+012 4.216337962957679e+003],... [6.010527746475593e+012 1.373459194188233e+004],... [3.560133726144175e+011 1.300000000000000e+003],... [4.368459515211880e+011 1.300000000000000e+003],... [1.272147901026296e+012 2.722713633111154e+003],... [1.063787654405139e+012 1.392418991184935e+003],... [1.265663701554579e+012 1.392418991184935e+003],... [4.092164186367988e+012 3.199395317077768e+003],... [2.441860355956611e+011 9.749999527819462e+002],... [6.330222443973812e+011 3.965718244950989e+003],... [2.430028333362581e+011 6.500000042119781e+002],... [8.514963709996585e+011 1.671081632270233e+003],... [1.859383657182347e+011 3.250000096857548e+002],... [4.307001902768686e+011 3.403025592105917e+002],... [3.560133726154119e+009 1.381337170886616e+001],... 'error',... [2.937062937062937e+009 1.950000000000000e+001],... [5.798967689221895e+009 1.508165308406692e+001],... 'error',... [1.319468914507713e+012 1.225221134900020e+004],... [9.958122890254858e-004 3.281073683617672e-011],... [6.763038603641406e-004 3.390173746379251e-011],... [5.000000000000000e-004 5.555555555555552e-011],... [8.017844029046270e+003 4.200000000000000e+012]); // beam1 new prop if 1==2 for j1=1:length(Mat_ref) if iscell(Mat_ref(j1,2).entries) [max(svd(Mat_ref(j1,2).entries(1))) max(svd(Mat_ref(j1,2).entries(2)))] else 'error' end end end //1==2
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//developed in windows XP operating system 32bit //platform Scilab 5.4.1 clc;clear; //example 17.8w //calculation of the distance of bright fringe from the central maximum //given data lambda1=6500*10^-10//wavelength(in m) of the light beam1 lambda2=5200*10^-10//wavelength(in m) of the light beam2 d=2.0*10^-3//separation(in m) between the slits D=120*10^-2//separation(in m) between the slits and the screen n=3//number of the bright fringe //calculation y=n*lambda1*D/d//the distance of bright fringe from the central maximum //from the equation of the distance of bright fringe from the central maximum.....y=n*lambda*D/d //let m th bright fringe of beam 1 coincides with n th bright fringe of beam 2 //ym = yn //m : n = 4 : 5.....is their minimum integral ratio m=4 ym=m*lambda1*D/d//least distance from the central maximum where both wavelengths coincides printf('the distance of the third bright fringe from the central maximum is %3.2f cm',y*10^2) printf('\nthe least distance from the central maximum where both the wavelengths coincides is %3.2f cm',ym*10^2)
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int f(float x, int y) { f(x, y); } void main(void) { }
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//Chapter 1,Example 1.23,Pg1.27 clc; disp("Refer to the figure shown in the diagram") I1=20/15 //Voltage in the loop divided by the sum of resistances I2=15/10 //Voltage in the loop divided by the sum of resistances printf("\n I1=%.2f A \n",I1) printf("\n I2=%.1f A \n",I2) Vab=5*I1-6*I2+5+15 //By applying KVL to the loop printf("\n Vab=%.2f V",Vab)
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// Example 9.10 // Given i= 10+10SinQ A // Since it is Unsymetrical waveform // Average can be found over 1 cycle // i.e Average Value of Current is i= 10 Amp I1=10; // Dc Current 10 Amp I2=10/1.414; // Sinusoidal Current 10/root(2) Irms=sqrt(I1^2+I2^2); // Rms Value of resultant Current disp(' Average value of Resultant Current = '+string(I1)+' Amp'); disp(' Rms value of Resultant Current = '+string(Irms)+' Amp'); // p 319 9.10
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funcprot(0) test_cases = list() test_cases($+1) = struct('input', struct('n', 1, 'k', 1), 'output', struct('digit', 1)) test_cases($+1) = struct('input', struct('n', 2, 'k', 1), 'output', struct('digit', 2)) test_cases($+1) = struct('input', struct('n', 15, 'k', 7), 'output', struct('digit', 4)) test_cases($+1) = struct('input', struct('n', 17, 'k', 11), 'output', struct('digit', 9)) test_cases($+1) = struct('input', struct('n', 50, 'k', 26), 'output', struct('digit', 8)) function Result = test_case(index) Result = test_cases(index) endfunction function Result = test_case_count() Result = size(test_cases) endfunction function show(index) tc = test_case(index) disp('Inputs') disp('n') disp(tc.input.n) disp('k') disp(tc.input.k) disp('Outputs') disp('digit') disp(tc.output.digit) endfunction function Result = check(index) tc = test_case(index) [digit] = solve(tc.input.n, tc.input.k) Result = %t Result = Result & isequal(digit, tc.output.digit) endfunction function Result = failures() n = test_case_count() failures = [] for index = 1:n if ~check(index) then failures = [ failures, index ] end end Result = failures endfunction function report() [temp, n] = size(failures()) disp( strcat( [ "Number of test cases: ", string(test_case_count()) ] ) ) disp( strcat( [ "Number of failures: ", string(n) ] ) ) disp( strcat( [ "Number of successes: ", string(test_case_count() - n) ] ) ) if n == 0 then disp("SUCCESS") else disp("FAIL") end endfunction
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function [Cx,Xmax] = Alaw(x,A) //Non-linear Quantization //A-law: A-law nonlinear quantization //x = input vector //Cx = A-law compressor output //Xmax = maximum of input vector x Xmax = max(abs(x)); for i = 1:length(x) if(x(i)/Xmax < = 1/A) Cx(i) = A*abs(x(i)/Xmax)./(1+log(A)); elseif(x(i)/Xmax > 1/A) Cx(i) = (1+log(A*abs(x(i)/Xmax)))./(1+log(A)); end end Cx = Cx/Xmax; //normalization of output vector Cx = Cx'; endfunction
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//signals and systems //time domain analysis of discreet time systems //convolution by sliding tape method clear; close; clc; n=(0:10)'; y=[0;zeros(length(n)-1,1)]; x=(n+1)^2; for k=1:length(n)-1 y(k+1)=y(k)+x(k); end; clf; a=gca(); plot2d3(n,y);xtitle('sum','n') plot(n,y,'b.')
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///Chapter No 7 Fluid Mechanics ////Find mass density of oil ///Example 7.2 Page No:114 ///Input data clc; clear; V=3*10^-3; //3l of oil in m**3 W=24; //Weight of oil in N g=9.81; //Gravity in m/s**2 rhow=1000; //Constant value //Calculation m=W/g; //Mass in Kg rho=m/V; //Mass density in kg/m**3 w=W/V; //Weight Density in N/m**3 v=V/m; //Specific volume in m**3/kg S=rho/rhow; //Specific gravity //Output printf('mass= %f kg \n',m); printf('Mass density= %f kg/m^3 \n',rho); printf('Weight Density= %f N/m^3\n ',w); printf('Specific volume= %f m^3/kg \n ',v); printf('Specific gravity= %f \n ',S);
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// // v1=7.534 v2=16.871 v3=15.326 RLatp=255.750+v1+1.825 RLofA=265.109+v2-1.6 RLatB=280.380+v3+2.315 RLofB=298.021-1.450 D3=118.009 printf("\n RL of axis when isnt. at P= %0.3f ", RLatp) printf("\n RL of A= %0.3f ", RLofA) printf("\n RL at B= %0.3f ", RLatB) printf("\n RL of B= %0.3f ", RLofB) printf("\n Distance between A and B= %0.3f ", D3)
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int main(void) { int func_arr(int a); /* ошибка: объявление функции внутри блока */ }
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exec('scilab-base-program-load_sudoku-fct.sce',-1) //to delete S=[ 5 3 0 0 8 0 0 2 0; 8 0 0 0 4 2 0 0 0; 0 0 1 3 0 6 0 8 0; 6 5 3 0 0 0 1 0 2; 2 1 4 6 0 3 5 7 8; 9 0 8 0 0 0 3 6 4; 0 6 0 5 0 1 8 0 0; 0 0 0 4 6 0 0 0 5; 0 4 0 0 3 0 0 1 6]; play_sudoku(S)
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//CHAPTER 7 ILLUSRTATION 11 PAGE NO 207 //TITLE:GOVERNORS //FIGURE 7.11 clc clear //=========================================================================================== //INPUT DATA PI=3.147 g=9.81// ACCELERATION DUE TO GRAVITY IN N/mm^2 AE=.25// LENGTH OF UPPER ARM IN m CE=.25// LENGTH OF LOWER ARM IN m ER=.175// FROM FIGURE 7.11 AP=.025// FROM FIGURE 7.11 FR=AP// FROM FIGURE 7.11 CQ=FR// FROM FIGURE 7.11 m=3.2// MASS OF BALL IN Kg M=25// MASS OF SLEEVE IN Kg h=.2// VERTICAL HEIGHT OF GOVERNOR IN m EM=h// FROM FIGURE 7.11 AF=h// FROM FIGURE 7.11 N=160// SPEED OF THE GOVERNOR IN rpm HM=(895*EM*(m+M)/(h*N^2*m)) x=HM-EM// LENGTH OF EXTENDED LINK IN m T1=g*(m+M/2)*AE/AF// TENSION IN UPPER ARM IN N printf('LENGTH OF EXTENDED LINK = %.3f m\n TENSION IN UPPER ARM =%.3f N',x,T1)
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clc; v=230; // rated voltage of motor f=50; // frequency p=4; // number of poles zs=0.6+3*%i; // synchronous impedance ia1=10; // current drawn by motor at upf ia2=40; // final current after load is inceased to certain value vt=v/sqrt(3); // per phase voltage al=atand(real(zs),imag(zs)); Ef=sqrt((vt-ia1*real(zs))^2+(ia1*imag(zs))^2); // excitation EMF t1=(ia2*abs(zs))^2; t2=Ef^2+vt^2; t3=-2*Ef*vt; // terms needed to evaluate load angle de=acosd((t1-t2)/t3); // load angle pi=(Ef*vt*sind(de-al))/abs(zs)+(vt^2*real(zs))/abs(zs)^2; // input power pf=pi/(vt*ia2); printf('Power factor is %f lagging\n',pf); pd=3*(pi-ia2^2*real(zs)); // developed power ns=(120*f)/p; // synchronous speed T=(pd*60)/(2*%pi*ns); printf('Torque developed is %f N-m',T);
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WT3000.tst
<scriptConfig name="WT3000" script="das_test"> <params> <param name="das.wt3000.sample_interval" type="int">1000</param> <param name="das.wt3000.chan_4_label" type="string" /> <param name="das.wt3000.chan_1_label" type="string">1</param> <param name="das.wt3000.ip_addr" type="string">192.168.0.10</param> <param name="das.wt3000.chan_2_label" type="string">2</param> <param name="das.wt3000.chan_3_label" type="string">3</param> <param name="das.wt3000.chan_1" type="string">AC</param> <param name="das.wt3000.chan_2" type="string">AC</param> <param name="das.wt3000.chan_3" type="string">AC</param> <param name="das.wt3000.chan_4" type="string">DC</param> <param name="hil.mode" type="string">Disabled</param> <param name="das.wt3000.comm" type="string">Network</param> <param name="das.mode" type="string">Yokogawa WT3000</param> </params> </scriptConfig>
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Example15_7.sce
exec('Bernauli.sci', -1) //Given that Ao = 1.2*10^-4 //in m^2 A = 0.35*10^-4 //in m^2 h = 45*10^-3 //in m density_water = 998 //in kg/m^3 //Sample Problem 15-7 printf("**Sample Problem 15-7\n") A = [A, Ao] deltaP = 0 //in N/m^2 density = density_water V = fsolve([0,0], Bernauli) FlowRate = A(1)*V(1) printf("The volume flow rate from the tap is equal to %fcm^3/s", FlowRate*10^6)
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// Exa 6.4 clc; clear; close; // given data fc_original=2;//in KHz fc_new=3;//in KHz R_original=8;//in Kohm R_new=fc_original*R_original/fc_new;//in Kohm disp("Change the resistance value 8 Kohm to a new value."); disp(R_new,"New value of resistance in ohm is :")
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read_ply.sce
//// read_ply // Read mesh data from ply format mesh file // //// Syntax // [face,vertex]= read_ply(filename) // [face,vertex,color] = read_ply(filename) // //// Description // filename : string, file to read. // // face : double array, nf x 3 array specifying the connectivity of the mesh. // vertex : double array, nv x 3 array specifying the position of the vertices. // color : double array, nv x 3 or nf x 3 array specifying the color of the vertices or faces. // //// Example // [face,vertex] = read_ply('cube.ply'); // [face,vertex,color] = read_ply('cube.ply'); // //// Contribution // Author: Meng Bin // Created: 2014/03/05 // Revised: 2014/03/07 by Meng Bin, Block read to enhance reading speed // Revised: 2014/03/17 by Meng Bin, modify doc format // // Copyright 2014 Computational Geometry Group // Department of Mathematics, CUHK // http://www.lokminglui.com function [face,vertex,color] = read_ply(filename) fid = fopen(filename,'r'); if( fid==-1 ) error('Can''t open the file.'); return; end // read header str = ''; while (~feof(fid) && isempty(str)) str = strtrim(fgets(fid)); end if ~strcmp(lower(str(1:3)), 'ply') error('The file is not a valid ply one.'); end file_format = ''; nvert = 0; nface = 0; stage = ''; while (~feof(fid)) str = strtrim(fgets(fid)); if strcmp(lower(str), 'end_header') break; end tokens = regexp(str,'\s+','split'); if (size(tokens,2) <= 2) continue; end if strcmp(lower(tokens(1)), 'comment') elseif strcmp(lower(tokens(1)), 'format') file_format = lower(tokens(2)); elseif strcmp(lower(tokens(1)), 'element') if strcmp(lower(tokens(2)),'vertex') nvert = str2num(tokens{3}); stage = 'vertex'; elseif strcmp(lower(tokens(2)),'face') nface = str2num(tokens{3}); stage = 'face'; end elseif strcmp(lower(tokens(1)), 'property') end end if strcmp(lower(file_format), 'ascii') [face,vertex,color] = read_ascii(fid, nvert, nface); //elseif strcmp(lower(file_format), 'binary_little_endian') //elseif strcmp(lower(file_format), 'binary_big_endian') else error('The file is not a valid ply one. We only support ascii now.'); end fclose(fid); ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// function [face,vertex,color] = read_ascii(fid, nvert, nface) // read ASCII format ply file color = []; //read vertex info tot_cnt = 0; cols = 0; A = []; tline = ''; while (~feof(fid) && (isempty(tline) || tline(1) == '#')) pos = ftell(fid); tline = strtrim(fgets(fid)); end C = regexp(tline,'\s+','split'); // read columns of vertex line cols = size(C,2); //rewind to starting of the line fseek(fid, pos,-1); //vertex and color line format string format = strcat(repmat('//f ', [1, cols]), '\n'); //start reading while (~feof(fid) & tot_cnt < cols*nvert) [A_,cnt] = fscanf(fid,format, cols*nvert-tot_cnt); tot_cnt = tot_cnt + cnt; A = [A;A_]; skip_comment_blank_line(fid,1); end if tot_cnt~=cols*nvert warning('Problem in reading vertices. number of vertices doesnt match header.'); end A = reshape(A, cols, tot_cnt/cols); vertex = A(1:3,:)'; // extract vertex color if cols == 6 color = A(4:6,:)'; elseif cols > 6 color = A(4:7,:)'; end //read face info tot_cnt = 0; A = []; tline = ''; while (~feof(fid) && (isempty(tline) || tline(1) == '#')) pos = ftell(fid); tline = strtrim(fgets(fid)); end C = regexp(tline,'\s+','split'); // read columns of face line nvert_f = str2num(C{1}); cols = nvert_f+1; if isempty(color) cols = size(C,2); end //rewind to starting of the line fseek(fid, pos,-1); //face and color line format string format = strcat(repmat('//d ', [1, nvert_f+1]), repmat('//f ', [1, cols-nvert_f-1])); format = strcat(format, '\n'); while (~feof(fid) & tot_cnt < cols*nface) [A_,cnt] = fscanf(fid,format, cols*nface-tot_cnt); tot_cnt = tot_cnt + cnt; A = [A;A_]; skip_comment_blank_line(fid,1); end if tot_cnt~=cols*nface warning('Problem in reading faces. Number of faces doesnt match header.'); end A = reshape(A, cols, tot_cnt/cols); face = A(2:nvert_f+1,:)'+1; // extract face color if cols > nvert_f+1 color = A(nvert_f+2:cols,:)'; end color = color*1.0/255; function [tline] = skip_comment_blank_line(fid,rewind) // skip empty and comment lines // get next content line // if rewind==1, then rewind to the starting of the content line tline = ''; if rewind==1 pos = ftell(fid); end while (~feof(fid) && (isempty(tline))) if rewind==1 pos = ftell(fid); end tline = strtrim(fgets(fid)); end if rewind==1 fseek(fid, pos,-1); end
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ex12_6.sce
//Chapter-12, Example 12.6, Page 345 //============================================================================= clc clear //INPUT DATA Pdc=50;//power in W Rl=200;//resistance in ohms ripplefactor=0.01 //CALCULATIONS Vdc=sqrt(Pdc*Rl);//DC voltage Vac=ripplefactor*Vdc;//AC voltage mprintf("Thus AC ripple voltage across the load is %d V",Vac); //=================================END OF PROGRAM======================================================================================================
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detectFASTFeatures.sci
function [cornerPoints]=detectFASTFeatures(image,varargin) // This function is used to detect the corner points using FAST Alogrithm // // Calling Sequence // [ Location Count Metric ] = detectFASTFeatures( Image, Name, Value... ) // // Parameters // Image: Input Image, should be a 2-D grayscale. The Input Image should be real // MinQuality [Optional Input Argument]: Minimum Accepted Quality of Corners, can be specified as a scalar value between [0,1]. Default: 0.1 // MinContrast [Optional Input Argument]: Minimum Intensity difference for Corners to be detected, can be specified as a scalar value between[0,1]. Default: 0.2 // ROI [Optional Input Argument]: Specify a rectangular region of operation. Format [ x y width height ]. Default: [1 1 size(Image,2) size(Image,1)] // Location: Set of x,y coordinates for the deteccted points // Count: Number of corner points detected // Metric: Value describing the strength of each detected Point // // Description // The detectFASTFeatures function uses the Features from Accelerated Segment Test (FAST) algorithm to find feature points. // // Examples // image = imread('sample.jpg'); // [location count metric] = detectFastFeatures(image); // // With Optional Arguments: // [location count metric] = detectFASTFeatures(image,"MinContrast",0.2); // // Authors // Umang Agrawal // Sridhar Reddy [lhs rhs]=argn(0); if lhs>3 error(msprintf(" Too many output arguments")); elseif rhs-1>6 error(msprintf(" Too many input arguments")); elseif modulo(rhs-1,2)<>0 error(msprintf("Either Argument Name or its Value missing")); end imageList=mattolist(image); select rhs-1 case 0 then [location count metric]=opencv_detectFASTFeatures(imageList); case 2 then [location count metric]=opencv_detectFASTFeatures(imageList,varargin(1),varargin(2)); case 4 then [location count metric]=opencv_detectFASTFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4)); case 6 then [location count metric]=opencv_detectFASTFeatures(imageList,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6)); end cornerPoints=struct('Type','cornerPoints','Location',location,'Metric',metric,'Count',count); //for i=1:count // cornerPoints(i)=struct('Location',location(i,:),'metric',metric(i,:),'Count',1); //end endfunction
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ex5_10.sce
// Exa 5.10 clc; clear; close; format('v',5) // Given data R_G = 3.9*10^6;// in ohm R_L = 18*10^3;// in ohm R_D = R_L;// in ohm g_m = 2*10^-3;// in A/V r_o = 250*10^3;// in ohm Cgs = 1*10^-12;// in F Cgd = 0.25*10^-12;// in F Rsig = 50*10^3;// in ohm A_VM =-R_G/(R_G+Rsig)*g_m*r_o*R_D*R_L/(r_o*R_D+R_D*R_L+R_L*r_o); disp(A_VM,"The midband gain is"); RdasL = (r_o*R_D*R_L)/( (r_o*R_D) +(R_D*R_L)+(R_L*r_o) );// in ohm Ceq = (1 + g_m*RdasL)*Cgd;// in F Cin = Cgs+Ceq;// in F f2 = 1/( 2*%pi*Cin*( (Rsig*R_G)/(Rsig+R_G) ) );// in Hz f2 = f2 * 10^-3;// in kHz disp(f2,"The upper 3dB frequency in kHz is");
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Chapter3_example1.sce
clc clear //Input data p=[1,8]//Pressure at the beginning and end of compression in kg/m^3 g=1.4//Ratio of specific heats //Calculations r=(p(2)/p(1))^(1/g)//Compression ratio n=(1-(1/r)^(g-1))*100//Air standard efficiency in percent //Output printf('Air standard efficiency of an engine working on the Otto cycle is %3.1f percent',n)
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test3-12.tst
main function fibo(n); array[10] f; var i; { let f[0] <- 0; let f[1] <- 1; let i <- 2; while i < 10 do let f[i] <- f[i - 1] + f[i - 2]; let i <- i + 1 od; return f[n] }; { call outputnum(call fibo(9)) }.
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13_09.sce
//Chapter 13, Problem 9, figure 13.41 clc; E1=4; //e.m.f source 1 E2=2; //e.m.f source 2 r1=2; //resistance in ohm r2=1; //resistance in ohm R=4; //resistance in ohm I1=(E1-E2)/(r1+r2); //current in amperes E=E1-(I1*r1); r=(r1*r2)/(r1+r2); I=E/(r+R); P=I^2*R; //power dissipated in watt printf("(i) The 4ohm resistor is removed from the circuit as shown in Fig. 13.42(a)\n\n"); printf("(ii) Current I1 = %f A \n P.d across AB = %f V\n\n",I1,E); printf("(iii) Removing the sources of e.m.f. gives the circuit shown in Fig. 13.42(b), from which, resistance\n r = %f ohm\n\n",r); printf("(iv) The equivalent Thévenin’s circuit is shown in Fig. 13.42(c), from which, current,\n I = %f A\n\n",I); printf("Power dissipated in the 4 resistor, \nP = %f W",P);
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//Example 4_9 clc; clear;close; //Given data: V=220;//V N_NoLoad=1000;//rpm alfa=0.6;//duty cycle I=20;//A Ra=1;//ohm //Solution : Eb1=V;//V////at no load Vin=alfa*V;//V Eb2=Vin-I*Ra;//V N=N_NoLoad*Eb2/Eb1;//rpm disp(N,"Speed of the motor(rpm)");
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//**************************** Speech ********************************** if (blk_name.entries(bl) =='speech') then addvmm = %t; mputl("# speech",fd_w); for ss=1:scs_m.objs(bl).model.ipar(1) speech_str= '.subckt speech in[0]=net' + string(blk(blk_objs(bl),2))+"_1 in[1]=net"+string(blk(blk_objs(bl),3))+"_1 in[2]=vcc out[0]=net'+ string(blk(blk_objs(bl),2+numofip))+"_" + string(ss)+" out[1]=net'+ string(blk(blk_objs(bl),3+numofip))+"_" + string(ss)+" #c4_ota_bias[0] =" +string(sprintf('%1.3e',scs_m.objs(blk_objs(bl)).model.rpar(2*ss-1)))+"&c4_ota_bias[1] =" +string(sprintf('%1.3e',scs_m.objs(blk_objs(bl)).model.rpar(2*ss)))+"&speech_fg[0] =0&c4_ota_p_bias[0] =105e-9&c4_ota_n_bias[0] =105e-9&c4_ota_p_bias[1] =105e-9&c4_ota_n_bias[1] =105e-9&speech_peakotabias[0] =100e-9&speech_pfetbias[0] =2e-11&speech_peakotabias[1] =9e-10"; mputl(speech_str,fd_w); mputl(" ",fd_w); select board_num case 2 then plcloc=[plcloc;'net'+string(blk(blk_objs(bl),2+numofip))+'_'+ string(ss),'6 '+string(ss)+' 0']; case 3 then plcloc=[plcloc;'net'+string(blk(blk_objs(bl),2+numofip))+'_'+ string(ss),'1 '+string(ss)+' 0']; end end end
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//find working stress in flange clc //solution //given //refer fig 8.12 D=200//mm p=0.35//N/mm^2 n=8 d=16//mm Dp=290//mm tf=20//mm //using table ft=14//N/mm^2 ,table 8.2 gives C=9mm C=9//mm ft=14//N/mm^2 t=(p*D/(2*ft))+C//mm d1=d+2//mm//dia of bolts D1=Dp-d1//mm pi=3.14 F=(pi/4)*[D1]^2*p//N//force acting to separate flanges x=90//mm y=[Dp/2]-[D/2+t]//mm //let fb be working stress M=F*y/n//N-mm //Mr=fb*Z=(1/6)*x*(tf)^2=6000*fb //M=6000*fb fb=M/6000//N/mm^2 printf("the working stress is ,%f N/mm^2",fb)
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//Variable declaration n=1; e=1.6*10**-19; m=9.1*10**-31; //mass(kg) h=6.63*10**-34; //planck's constant L=1*10**-10; //width(m) //Calculation E1=n**2*h**2/(8*m*e*L**2); //energy value in ground state(eV) E2=4*E1; //energy value in 1st state(eV) E3=9*E1; //energy value in 2nd state(eV) //Result printf('energy value in ground state is %0.4f eV",(E1)) printf('\nenergy value in 1st state is %0.2f eV",(E2)) printf('\nenergy value in 2nd state is %0.4f eV",(E3))
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// Page no 688 // Example no. 15.2 // N=1 //Here we have given two messages with probabilities m1=0.8 and m2=0.2 . Therefore, Huffman code for the source is simply 0 and 1. //The length L of this code is calculated as clear; clc; close; N=1; p=[.8 .2];//enter probabilities in descending order n=length(p) l=[1 1];//code length of individual message according to order L=0; for i=1:n L=L+(p(i)*l(i)); end disp(L,"Length = "); // Entropy of source is calculated as H=0; for i=1:n H=H+(p(i)*log2(1/p(i))); end disp(+'bit',H,"Entropy of source is, H = "); // Efficiency of code is given as N1=H/L; disp(N1,"Efficiency of code, N = "); //for N=2 //There are four (2^N) combinations and their probabilities obtained by multiplying individuals probability. //The length L of this code is calculated as N=2; p=[0.64 0.16 0.16 0.04];//enter probabilities in descending order n=length(p); l=[1 2 3 3];//code length of individual message according to order L1=0; for i=1:n L1=L1+(p(i)*l(i)); end L=L1/N;// word length per message disp(L,"Length = "); // Efficiency of code is given as N2=H/L; disp(N2,"Efficiency of code, N = "); //for N=3 //There are eight (2^N)combinations and their probabilities obtained by multiplying individuals probability //The length L of this code is calculated as N=3; p=[.512 .128 .128 .128 .032 .032 .032 .008];//enter probabilities in descending order n=length(p); l=[1 3 3 3 5 5 5 5];//code length of individual message according to order L1=0; for i=1:n L1=L1+(p(i)*l(i)); end L=L1/N;// word length per message disp(L,"Length = "); // Efficiency of code is given as N3=H/L; disp(N3,"Efficiency of code, N = ");
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//Page Number: 6.23 //Example 6.20 clc; //Given pe=0.01; //Error probability //(a) Probabilty of more than one error in 10 recieved digits n=10; //As P(X>1)=1-P(X=0)-P(X=1) //Let x=P(X>1) //s=P(X=0)+P(X=1) s=0; for t=0:1 f=(factorial(n))/((factorial(t))*(factorial(n-t))); s=s+{f*(pe^t)*((1-pe)^(n-t))}; end x=1-s; disp(x,'Probabilty of more than one error in 10 recieved digits:'); //(b)Using Poisson approximation //P(X=k)~[{(%exp)^(-n*p)}*{((n*p)^k)}]/k factorial s1=0; for k=0:1 j=factorial(k); s1=s1+[{exp(-n*pe)}*{((n*pe)^k)}]/j; end x1=1-s1; disp(x1,'Using Poisson Approximation:');
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clc //initialisation of variables G= 145 //cal R= 1.987 //cal/mole K T= 95 //C //CALCULATIONS P= 10^(-G/(2.303*R*(273+T)))*(624/0.820) //RESULTS printf (' vapour pressure= %.f atm',P)
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Ex8_12.sce
clear // // //Given //Variable declaration F=50*10**3 //Shear force in N b=250 //Base width in mm h=200 //height in mm //Calculation tau_max=int((3*F)/(b*h)) //Maximum shear stress in N/sq.mm tau=((8*F)/(3*b*h)) //Shear stress at N.A. in N/sq.mm //Result printf("\n Maximum shear stress = %0.3f N/mm^2",tau_max) printf("\n Shear stress at N.A. = %0.3f N/mm^2",tau)
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//ques-18.45 //Calculating change in chemical potential of a substance clc P1=1; P2=0.5;//partial pressure (in atm) T=298;//temperature (in K) C_P=8.314*T*log(P2/P1); printf("The change in chemical potential is %.4f kJ/mol.",C_P/1000);
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//Solution 11-1 WD=get_absolute_file_path('11_01_solution.sce'); datafile=WD+filesep()+'11_01_example.sci'; clc; exec(datafile) //unit conversions V = V * 1000 / 3600; //from [km/h] to [m/s] P = P * 1.01325 * 10**5; //from [atm] to [Pa] T = T + 273; //from [C] to [K] rho_air = P / ( R * T); C_D = 2 * F_D / (rho_air * A * V**2); printf("Drag coefficient is %1.2f", C_D);
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//Problem 4.01: //initializing the variables: mdt = 0.15; // in kg/sec v = 420; // in m/sec //calculation: vxin = v vxout = 0 vyin = 0 vyout = v Fxgc = mdt*(vxout - vxin) Fygc = mdt*(vyout - vyin) printf("\n\nResult\n\n") printf("\n The x-direction supporting force is %.1f N and The y-direction supporting force is %.1f N",Fxgc,Fygc)
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// Dynamic resistance in forward,reverse direction // Basic Electronics // By Debashis De // First Edition, 2010 // Dorling Kindersley Pvt. Ltd. India // Example 2-30 in page 105 clear; clc; close; // Given data V_T=0.0343; // Thermal voltage at 398K in V eta=1; // Constant for Ge // Calculation // Final expression for r derived after differentiating w.r.t V r1=((35*10^-6)/(34.3*10^-3))*exp(5.83); A1=1/r1; r2=3.185*10^-6 A2=1/r2; printf("(a)Dynamic resistance in forward direction = %0.3f ohm\n",A1); printf("(b)Dynamic resistance in reverse direction = %0.3e ohm",A2); // Result // (a) Resistance in forward direction = 2.879 ohm // (b) Resistance in reverse direction = 0.314 Mohm
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//Fiber Optics Communication Technology, by Djafer K. Mynbaev and Lovell L.scheiner //Windows 8 //Scilab version- 6.0.0 //Example 13.2.1 clc; clear ; //given //case 1 lambda1=1540.56E-9;//wavelength in m lambda2=1541.35E-9;//wavelength in m d=5E-6;//grating pitch in m x=lambda1/d; theta1=asind(x);////Angle of separation in deg y=lambda2/d; theta2=asind(y);//Angle of separation in deg Asep=theta2-theta1;//Angle of separation in deg mprintf("Angle of separation = %.3f deg.",Asep); //case 2 z=tand(theta2)-tand(theta1); L=245E-6/z;//Length required to separate wavelength in m mprintf("\nLength required to separate wavelength = %.3f m",L);//the answer vary due to rounding
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// problem 3.3 d1=0.2 d2=0.1 l=4 x=30 p1=392.4*1000 q=0.035 z1=0 z2=l*sind(x) a1=3.142*d1*d1/4 a2=3.142*d2*d2/4 v1=q/a1 v2=q/a2 w=9810 g=9.81 p2=((z1-z2)+(((v1^2)-(v2^2))/(2*g))+(p1/w))*w disp(p2,"pressure intensity at outlet in N/m2")
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//Problem 2 //Calculate the maximum speed of electron striking the anti-cathode clear clc V=18// Potential difference in kV e=1.6*10^(-19)//charge on an electron in C m=9.1*10^(-31)//mass of an electron in kg v=(2*e*V/m)^(0.5)//maximum speed of electron in m/s printf('maximum speed of electron striking the anti-cathode = %.1f m/s',v)
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//EXAMPLE 5-65 PG NO-346 V1=5; G1=1; V2=5; G2=(1/2); V3=10; G3=(1/4); EV=(V1*G1+V2*G2+V3*G3)/(G1+G2+G3); //EQUIVALENT VOLTAGE ER=1/(G1+G2+G3); I=(EV*ER)/(EV+ER); disp('i) Euivalent Resistance (EV) is = '+string (EV) +' V '); disp('ii) Equivalent Resistance (ER) is = '+string (ER) +' ohms '); disp('ii) CURRENT (I) is = '+string (I) +' A ');
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//Example 2_11 page no:96 clc; V=50; V1=23.33/(0.2+0.5+0.33); I=(V-V1)/5; P=V*I; disp(P,"the power delivered by the 50V voltage source is (in W)");
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//Variable declaration x = [225 3 ; 265 11; 305 23 ; 345 9 ; 385 4] temp1 = 0 temp2 = 0 //Calculation for i = 1:5 temp1 = temp1 + x(i,1)*x(i,2) end Mean = temp1/sum(x(1:5,2)) // mean=sum(x(i)*f(i))/sum(f(i) class average for i = 1:5 temp2 = temp2 + x(i,1)*x(i,1)*x(i,2) end variance = (temp2 - (temp1^2) / sum(x(1:5,2))) / (sum(x(1:5,2))-1) // variance std_dev= sqrt(variance) // standard deviation //Results printf ( "mean : %.f ",Mean ) printf ( "variance : %.2f",variance ) printf ( "standard deviation : %.1f",std_dev)
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//Chapter 4 Example 3// clc clear // class demand factor=c,// l1=400;l2=380;l3=350;l4=300;l5=350;l6=500;l7=700;l8=750;l9=900;l10=1200;l11=1350;l12=1200;l13=1000;l14=950;l15=1250;l16=1300;l17=1400;l18=1300;l19=1500;l20=1800;l21=2000;l22=1950;l23=1000;l24=800;// in kWh// // class contribution factor of street load=cs, of rest of load=cr// sl=200;// in kW// md1=sl;// since max demand is street lighting load// cde=0;// class demand=cde// cs=cde/md1; md2=l20;// here non coincident max demand=l20// cde=l20; cr=cde/md2; // diversity factor=df// df=(md1+md2)/(cs*md1+cr*md2); printf("\n Diversity factor = %.3f \n",df); // coincidence factor=cd// cf=1/df; printf("\n Coincidence factor = %.2f\n",cf);
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//chapter13,Example13_2,pg 391 M235U=235//at.mass of 235U m=10^-3 N=6.023*10^23 Eperfi=200*10^6//energy per fission E=Eperfi*1.6*10^-19//energy per fission (in joules) T=10^-6 A=M235U P=((m*N)/A)*(E/T)//power output printf("power of explosion\n") printf("P=%.2f watt",P)
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plant1 = [16 18 9 22 17 19 24 8]; plant2 = [22 18 26 30 25 28]; X1= sum(plant1); X2 = sum(plant2); n =length(X1); m= length(X2); //disp(X1, X2, X1+X2) prob1 = 1 - cdfbin("PQ",X1 -1,X1+X2, (4/7), (3/7) ); prob2 = cdfbin("PQ",X1 ,X1+X2, 4/7, 3/7 ); disp(prob1, prob2) pvalue = 2*min([prob1 prob2]); disp(pvalue, "The pvalue is")
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sce1.0 # camera eyepos 750 75 150 eyedir -0.2 1.0 0.3 eyeup 0.0 0.0 1.0 wdist 20.0 fovy_deg 70 nx 1280 ny 640 #options max_recursion 24 aasample 20 # scene ca 0.1 0.1 0.1 background 0 0 0 { # cylinder cube frame around bottom plane cr 0.8 0.0 0.8 cp 0.1 0.0 0.1 shininess 10.0 push_matrix rotate 90.0 1.0 0.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix rotate 90.0 0.0 1.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix translate 1000.0 1000.0 0.0 rotate -90.0 0.0 1.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix translate 1000.0 1000.0 0.0 rotate -90.0 1.0 0.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix } { # cylinder cube frame around top plane cr 0.8 0.0 0.8 cp 0.1 0.0 0.1 shininess 10.0 push_matrix translate 0.0 0.0 1000.0 push_matrix rotate 90.0 1.0 0.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix rotate 90.0 0.0 1.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix translate 1000.0 1000.0 0.0 rotate -90.0 0.0 1.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix translate 1000.0 1000.0 0.0 rotate -90.0 1.0 0.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix pop_matrix } { # cylinder cube frame vertically around box cr 0.8 0.0 0.8 cp 0.1 0.0 0.1 shininess 10.0 push_matrix scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix translate 1000.0 0.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix translate 0.0 1000.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix push_matrix translate 1000.0 1000.0 0.0 scale 35.0 35.0 1000.0 cylinder pop_matrix } { #bottom ca 0.4 0.2 0.2 cr 0.7 0.4 0.4 cp 1.0 1.0 1.0 shininess 100.0 triangle 0.0 0.0 0.0 0.0 1000.0 0.0 1000.0 0.0 0.0 triangle 0.0 1000.0 0.0 1000.0 1000.0 0.0 1000.0 0.0 0.0 } { #top push_matrix translate 0.0 0.0 1000.0 ca 0.4 0.2 0.2 cr 0.7 0.4 0.4 cp 1.0 1.0 1.0 shininess 100.0 triangle 0.0 0.0 0.0 0.0 1000.0 0.0 1000.0 0.0 0.0 triangle 0.0 1000.0 0.0 1000.0 1000.0 0.0 1000.0 0.0 0.0 pop_matrix } { #left push_matrix rotate -90.0 0.0 1.0 0.0 ca 0.2 0.4 0.2 cr 0.4 0.7 0.4 cp 1.0 1.0 1.0 shininess 100.0 triangle 0.0 0.0 0.0 0.0 1000.0 0.0 1000.0 0.0 0.0 triangle 0.0 1000.0 0.0 1000.0 1000.0 0.0 1000.0 0.0 0.0 pop_matrix } { #right push_matrix translate 1000.0 0.0 0.0 rotate -90.0 0.0 1.0 0.0 ca 0.2 0.4 0.2 cr 0.4 0.7 0.4 cp 1.0 1.0 1.0 shininess 100.0 triangle 0.0 0.0 0.0 0.0 1000.0 0.0 1000.0 0.0 0.0 triangle 0.0 1000.0 0.0 1000.0 1000.0 0.0 1000.0 0.0 0.0 pop_matrix } { #front push_matrix rotate 90.0 1.0 0.0 0.0 ca 0.2 0.2 0.4 cr 0.4 0.4 0.7 cp 1.0 1.0 1.0 shininess 100.0 triangle 0.0 0.0 0.0 0.0 1000.0 0.0 1000.0 0.0 0.0 triangle 0.0 1000.0 0.0 1000.0 1000.0 0.0 1000.0 0.0 0.0 pop_matrix } { #back push_matrix translate 0.0 1000.0 0.0 rotate 90.0 1.0 0.0 0.0 ca 0.2 0.2 0.4 cr 0.4 0.4 0.7 cp 1.0 1.0 1.0 shininess 100.0 triangle 0.0 0.0 0.0 0.0 1000.0 0.0 1000.0 0.0 0.0 triangle 0.0 1000.0 0.0 1000.0 1000.0 0.0 1000.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 200.0 775.0 650.0 scale 1.1 0.8 0.9 ball 39.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 724.0 620.0 950.0 scale 1.0 0.6 0.4 ball 39.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 430.0 138.0 74.0 scale 1.4 1.1 0.9 ball 38.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 900.0 900.0 900.0 scale 1.2 1.0 0.8 ball 33.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 102.0 185.0 148.0 scale 0.8 0.9 1.2 ball 41.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 502.0 589.0 448.0 scale 0.7 0.8 1.5 ball 40.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 302.0 389.0 348.0 scale 0.7 0.8 0.5 ball 36.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 302.0 389.0 348.0 scale 0.7 0.8 0.5 ball 45.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 785.0 375.0 103.0 scale 0.8 0.3 1.2 ball 37.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 650.0 230.0 190.0 rotate 15.0 1.0 0.0 0.0 scale 1.0 0.5 1.5 ball 42.0 0.0 0.0 0.0 pop_matrix } { #red ball ca 0.9 0.1 0.1 cr 1.0 0.2 0.2 cp 0.5 0.2 0.2 push_matrix translate 500.0 512.0 492.0 scale 1.1 0.5 0.8 ball 32.0 0.0 0.0 0.0 pop_matrix } { push_matrix translate 250 250 100 pointlight 0 0 0 1.0 1.0 1.0 pop_matrix } { push_matrix translate 750 800 750 pointlight 0 0 0 1.0 1.0 1.0 pop_matrix } end
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function [p,C,b,ci,cs,mi]=mps2linpro(mps) [lhs,rhs]=argn(0) if type(mps)==10 then //a file name mps=readmps(mps,[-1000 1000]) end m=size(mps('rownames'),1) n=size(mps('colnames'),2) kobj=mps('irobj') rowstat=mps('rowstat') keq=find(rowstat==1) kge=find(rowstat==2) kle=find(rowstat==3) C=full(adj2sp(mps('colpnts'),mps('rownmbs'),mps('acoeff'),[m,n])) p=C(kobj,:)' C(kge,:)=-C(kge,:) C=C([keq;kle;kge],:) b=mps('rhs'); b(kge,:)=-b(kge,:) b=b([keq;kle;kge],:) ci=mps('bounds')(:,1) cs=mps('bounds')(:,2) mi=size(keq,'*') if lhs==1 then p=tlist(['linpro','p','C','b','ci','cs','mi'],p,C,b,ci,cs,mi) end
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load Larc.hdl, set RAM4K[0] %X8101, // 1. li R1 1 set RAM4K[1] %X8202, // 2. li R2 2 set RAM4K[2] %XD512, // 3. sw 5(R1) R2 MEM[6] <-- 2 set RAM4K[3] %XC324, // 4. lw R3 4(R2) R3 <-- MEM[6] set RAM4K[4] %XF000, // 5. halt set ROM32K[0] %B0000000001000000, set ROM32K[1] %B0100100000100001, set ROM32K[2] %B0000100000000010, set ROM32K[3] %B1000000000000011, set ROM32K[4] %B0000100010000100, set ROM32K[5] %B1000000000000101, set ROM32K[6] %B0000100100000110, set ROM32K[7] %B1000000000000111, set ROM32K[8] %B0000100110001000, set ROM32K[9] %B1000000000001001, set ROM32K[10] %B1000000000001010, set ROM32K[11] %B1000000000001011, set ROM32K[12] %B1000110000001100, set ROM32K[13] %B1000101000001101, set ROM32K[14] %B0000100000101110, set ROM32K[15] %B0000000000001111, set ROM32K[16] %B1000000000010000, set ROM32K[17] %B0000100000110001, set ROM32K[18] %B1000000000010010, set ROM32K[19] %B1001000000010011, set ROM32K[20] %B1100000000010100 ; repeat 100 { tick, tock; }
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//Chapter-6,Example 6_1,Page 6-26 clc() //Given Values: H=198 //Magnetizing Force in Ampere per meter M=2300 //Magnetization in Ampere per meter u0=4*%pi*10^-7 //Permeability in vacuum //Calculations: //H=(B/u0)-M B=u0*(H+M) //Flux Density ur=B/(u0*H) //Relative Permeability printf('Corresponding Flux Density is =%.5f Wb/m^2 \n \n',B) printf(' Relative Permeability is =%.2f \n',ur)