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exec('C:\Users\hugo_\Desktop\trabalho-controller\prep.sce', -1) exec('C:\Users\hugo_\Desktop\trabalho-controller\funcs.sce', -1) // Simulation parameters t = gettime(30, 100); // Method preparation // Gain estimation // Very long simulation time to make sure oscillations are stable and consistent kcr_estimation = 1.48; tg = gettime(600, 100); yg = csim('step', tg, (g*kcr_estimation)/.(1)); // Period estimation // Shorter simulation since we only need the period tper = gettime(30, 100); yper = csim('step', tper, (g*kcr_estimation)/.(1)); // Method parameters kcr = 1.48; tcr = 11.34; // Simulations y = csim('step', t, g/.(1)); yp = simu_zn2_p(t, kcr, tcr); ypi = simu_zn2_pi(t, kcr, tcr); ypid = simu_zn2_pid(t, kcr, tcr); // Plots subplot(211) plot(t, y, t, yp, t, ypi, t, ypid); title('Ziegler-Nichols second method for PID tuning') legend(['G response', 'P response', 'PI response', 'PID response']); subplot(223) plot(tg, yg); title('Ziegler-Nichols second method gain estimation') legend(['Closed loop response']) subplot(224) plot(tper, yper); title('Ziegler-Nichols second method period estimation') legend(['Closed loop response'])
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//chapter 4 Ex 33 clc; clear; close; Eachday=20; idleFortified=3; twoMonths=60; wageTwoMonths=280; idleDays=(Eachday*twoMonths-wageTwoMonths)/(Eachday+idleFortified); mprintf("The worker remained idle for %d days",idleDays);
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void main() { int var == 0; if(var == 1) { print("IF"); } else ( print("ERROR_IF"); ) }
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// Xcos // // Copyright (C) INRIA - METALAU Project <scicos@inria.fr> // Copyright 2011 - Bernard DUJARDIN <bernard.dujardin@contrib.scilab.org> // // This program is free software; you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation; either version 2 of the License, or // (at your option) any later version. // // This program is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // // You should have received a copy of the GNU General Public License // along with this program; if not, write to the Free Software // Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. // // See the file ../license.txt // function [x,y,typ] = div_by_n(job,arg1,arg2) x=[];y=[];typ=[]; select job case 'plot' then graphics=arg1.graphics; ierr=execstr('(evstr(graphics.exprs(3))==1)','errcatch') if ierr<>0 then graphics.exprs(3)='1';end if (evstr(graphics.exprs(3))==1) then from=graphics.exprs(1) to=graphics.exprs(2) else from=graphics.exprs(2) to=graphics.exprs(1) end standard_draw(arg1) case 'getinputs' then [x,y,typ]=standard_inputs(arg1) case 'getoutputs' then [x,y,typ]=standard_outputs(arg1) case 'getorigin' then [x,y]=standard_origin(arg1) case 'set' then x=arg1; graphics=arg1.graphics;exprs=graphics.exprs model=arg1.model; while %t do [ok,nofinputs,divN,rule,exprs]=scicos_getvalue([msprintf(gettext("Set %s block parameters"), "Counter"); " "; .. gettext("Div by N Clock Generator");" "], .. [gettext("no OF OUTPUTS"); gettext("divNum"); .. gettext("Rule (1:Increment, 2:Decrement)");], .. list('vec',1,'vec',1,'vec',1),exprs); if ~ok then break,end divN=int(divN);nofinputs=int(nofinputs); if divN < nofinputs then block_parameter_error(msprintf(gettext("Wrong values for ''divNum'' and ''nofinputsum'' parameters: %d &lt; %d"), nofinputs, divN), .. msprintf(gettext("''Minimum'' must be less than ''divNum''."))); elseif (rule <> 1 & rule <> 2) then block_parameter_error(msprintf(gettext("Wrong value for ''Rule'' parameter: %d"), rule), .. msprintf(gettext("Must be in the interval %s."), "[1,2]")); else graphics.exprs=exprs model.dstate=0 model.ipar=[rule;divN;nofinputs] x.graphics=graphics;x.model=model break end end case 'define' then nofinputs=2 in=2 divN=2 rule=1 model=scicos_model() model.sim=list('div_func',5) //model.evtin=1 model.in=-[1:in]' model.intyp=-ones(in,1) model.out=-[1:nofinputs]' model.outtyp=-ones(nofinputs,1) //model.dstate=0 model.rpar=divN; model.ipar=[rule;divN;nofinputs] model.blocktype='c' model.dep_ut=[%t %f] exprs=[string(nofinputs);string(divN);string(rule)] gr_i=['text=[''Clk'';'' Reset''];';'xstringb(orig(1),orig(2),text,sz(1),sz(2),''fill'');'] x=standard_define([11 10],model,exprs,gr_i) end endfunction
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// Function Name: norm // Return its normalised version, has been normalised to have unit p-norm(3rd parameter) // 3rd parameter : "-inf"=1, "inf"=2, "fro"=default // "-inf" is the minimum norm, "inf" is the maximum norm, while "fro" is the Frobenius norm // Calculating the norm inputMat = [ 1, 2, 3; 4, 5, 6; 7, 8, 10;] result = armaMatFunc("norm",inputMat)
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x=[2 2 3 4 5 6]' y=[5 6 19 38 78 115]' plot2d(x,y,-3) X=[x ones(x)]; a=X\y; xx=[0:.01:7] disp(a(2),"The coefficient a(2) is") yy=[a(1)*xx+a(2)] plot2d(xx,yy,2) disp(a(1),"The coefficient a(1) is")
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// Examle 16.14 V=480; Ia=110; // Armature currernt Ra=0.2; // Armature resistance a=6; // No.Of paraller path p=6; // No.Of poles Q=0.05; // Megnetic flux per pole z=864; // Impedence Eb=V-(Ia*Ra); // Generated emf (Eb) disp('Generated emf (Eb) = '+string(Eb)+' Volt'); N=(60*a*Eb)/(Q*z*p); // Speed of the moter disp(' Speed of the moter = '+string(round(N))+' rms'); // ==> Using Formula { td= Qz/2TT x(p/A) xIa } x=(Q*z)/(2*%pi); // for simlicity td=(p/a)*Ia*(x); // Total Torque (Td) disp(' Total Torque (Td) = '+string (round(td))+' Nm'); // p 650 16.14
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function [lambda, x, N] = Metodo_potencia(A, x0, epsilon, M) //Método da potência para cálculo de aproximações do módulo do autovalor de maior módulo e do autovetor associado a ele. p = find(abs(x0) == norm(x0, %inf))(1,1); //Encontra-se o menor índice tal que sua coordenada tenha módulo igual à norma infinito x = x0 / x0(p, 1); //Divide-se pela coordenada de módulo igual à norma infinito N = 1; while N <= M //Até exceder o número máximo de iterações y = A * x; //Iteração lambda = y(p, 1); if norm(y, %inf) == 0 then //Se a norma infinito de y for 0, então A tem autovalor 0 disp("A tem autovalor 0."); break; end y = y / y(p, 1); err = norm(x - y, %inf); //Erro x = y; if err < epsilon //Para a iteração se o erro for menor do que a tolerância disp("Procedimento bem-sucedido."); break; end N = N + 1; end if N > M then N = N - 1; disp("Número máximo de iterações excedido."); end endfunction function [lambda, x, N] = Metodo_potencia_simetrico(A, x0, epsilon, M) //Método da potência simétrico para cálculo de aproximações do módulo do autovalor de maior módulo e do autovetor associado a ele para matrizes simétricas. x = x0 / norm(x0, 2); N = 1; while N <= M y = A * x; lambda = x'*y; if norm(y, 2) == 0 then disp("A tem autovalor 0."); break; end y = y / norm(y, 2); err1 = norm(x - y, 2); err2 = norm(x + y, 2); x = y; if err1 < epsilon || err2 < epsilon then disp("Procedimento bem-sucedido."); break; end N = N + 1; end if N > M then N = N - 1; disp("Número máximo de iterações excedido."); end endfunction function [lambda, x, N] = Metodo_potencia_inversa(A, x0, epsilon, alfa, M) //Método da potência inversa para cálculo de aproximações do módulo do autovalor mais próximo de alfa e o autovetor relativo a ele. if alfa == %inf then //Se o alfa for infinito, então calculamos uma aproximação alfa = x0' * A * x0 / (x' * x); end p = find(abs(x0) == norm(x0, %inf))(1,1); x = x0 / x0(p, 1); N = 1; while N <= M I = eye(size(A)(1, 1), size(A)(1, 1)); //Matriz identidade de orden igual à de A y = linsolve(A - alfa * I, -x); //Equivalente a encontrar y = (A - alfa*I)^-1 *x lambda = y(p, 1); if norm(y, %inf) == 0 then disp("A tem autovalor 0."); break; end y = y / y(p, 1); err = norm(x - y, %inf); x = y; if err < epsilon disp("Procedimento bem-sucedido."); break; end N = N + 1; end if N > M then N = N - 1; disp("Número máximo de iterações excedido."); end lambda = 1 / lambda + alfa; //O autovalor que encontramos é da matriz (A - alfa*I)^-1. Se lambda é um autovalor de A, então lambda_0 = 1/(lambda - q) é autovalor de (A - alfa*I)^-1. Apenas isolamos lambda. endfunction
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errcatch(-1,"stop");mode(2);; // page no 681 // prob no 18.5 NF_dB=2; NF_power = 10^(NF_dB/10); T_eq=290*(NF_power -1); disp('K',T_eq,'The equivalent noise temperature'); exit();
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//Creado por Lucas GAMALERI; consultas: LGAMALER@ternium.com.ar //Las variables deben ser descargadas desde el trending de piso de planta en el siguiente orden // DEC.PLC4.N2_PRUEBA4 (Registro de prueba contador de alarma de automatismo) // DEC.PLC10.AN2L_CENTRO_RAMPA_REF_VELOCIDAD (Velocidad centro BR3 m/min) // DEC.PLC4.AN2L_CENTRADOR_6_DESPLAZ_CHAPA (Desplazamiento de chapa en Centrador 6) // DEC.PLC4.AN2L_CENTRADOR_6_POSIC_RODILLO (Posicion rodillo centrador 6) // DEC.PLC4.AN2L_PILETAS_CENTR_DESPLAZ_CHAPA (Desplazamiento de chapa en Centrador de Piletas) // DEC.PLC4.AN2L_PILETAS_CENTR_POSIC_RODILLO (Posicion rodillo centrador de piletas) // DEC.PLC10.AN2L_BR_4_SAL_VELOC_ACTUAL (Velocidad salida BR4 m/min) // ---------------------------------------NOTA------------------------------------------------- // El intervalo maximo de la bajada de datos NO DEBE EXCEDER los 3 días puesto que // Se produciran errores en el calculo de la frecuencia de muestreo producto del // Formato de los datos importados desde el piso de planta. //clear //Abre base de datos de variables load('ddbb') echo = %F;// %T si desea tener acceso a todos los datos creados por el programa, caso contrario reemplazar por %F guardar = %T; //%T si desea guardar la ejecución en la base de datos, para pruebas o casos particulares reemplazar por %F //Carga de datos desde trending if echo then print('echo is on') end if ~guardar then print('Precaución! las variables no se guardarán en la base de datos') end path1='C:\Users\LGAMALER\Downloads\trends.csv'; path2 ='C:\Users\LGAMALER\""OneDrive - TERNIUM""\Documentos\Decapado\""2019.09 - Oscilacion en centrador 6""\""Analisis de patrones en centrador 6 y centrador de piletas""\trends.csv'; command = 'MOVE /Y '+path1+' '+path2; dos(command,'-echo') Datanum = csvRead('trends.csv',';',',','double') Datastr = csvRead('trends.csv',';',',','string') a = size(Datanum) a = a(1) datetime = Datastr(2:a,1); contador = Datanum(2:a,2); vel_centro = Datanum(2:a,3); c6desp = Datanum(2:a,4); c6pos = Datanum(2:a,5); cpildesp = Datanum(2:a,6); cpilpos = Datanum(2:a,7); vel_salida = Datanum(2:a,8); longitud_trk = Datanum(2:a,9) bobina_numero = input("Escriba el numero de bobina: ","string"); if echo == %F then clear Datanum Datastr a end amp_factor_pos = -3 amp_factor_desp = -8 //Handling time date1 = datetime(1); date2 = datetime(2); second1 = part(date1,(length(date1)-5:length(date1))) second2 = part(date2,(length(date2)-5:length(date2))) second1 = strtod(second1) second2= strtod(second2) frequency_seq = abs(second2-second1) frequency_min = frequency_seq/60 if echo == %F then clear second1 second2 date1 date2 datetime end time = linspace(0,frequency_min*1000,1000)' // Integracion numerica //Pasaje de señal en funcion del tiempo a funcion de los metros de chapa [CORREGIR] long_centro = zeros(length(time)); long_centro(1) = 0; //metros respecto a centrador de pileta long_salida = zeros(length(time)); long_salida(2) = 375; //metros respecto a centrador de pileta T1 = 0; T2 = 0; for i = 2:length(time) j = i-1 long_centro(i) = long_centro(j)+vel_centro(i)*(time(i)-time(j)) long_salida(i) = long_salida(j)+vel_salida(i)*(time(i)-time(j)) end // Fin de integración clear T1 T2 dt1 dt2 i j subplot(321) //Grafico de centrador 6 y centrador de piletas sin desfazaje por trayecto de chapa plot(time,amp_factor_pos*c6pos,'b-') plot(time,cpilpos,'r-') plot(0,240) //max eje y plot(0,-240) //max neg eje y xlabel('Tiempo [min]') ylabel('Posicion centradores [%]') title('Posición C6 y Centrador de piletas en func del tiempo') legend(['Centrador 6*300%';'Centrador de piletas']) subplot(325) //Grafico de velocidad sobre tiempo plot(time,vel_centro,'r-') plot(time,vel_salida,'b-') plot(0,240) //max eje y //plot(0,-240) //max neg eje y ylabel('Velocidad [m/min]') title('Velocidad de la línea, Centro y salida') legend(['Centrador de Pileta (BR3)';'Centrador 6 (BR4)']) subplot(326) //Grafico de contador de alarma //plot(time,contador,'r*') //plot(0,240) //max eje y //plot(0,-240) //max neg eje y //ylabel('Contador') //title('Contador de activacion de lógica') //legend(['Centrador 6';'Centrador de piletas']) //Grafico de Longitud por tracking plot(time,longitud_trk,'b-') ylabel('m') title('Longitud trk salida') subplot(323) //Grafico de desplazamiento en centrador 6 y centrador de piletas sin desfazaje por trayecto de chapa plot(time,-cpildesp,'r-') plot(time,amp_factor_desp*c6desp,'b-') plot(0,240) //max eje y plot(0,-240) //max neg eje y ylabel('Desplazamiento de chapa [mm]') title('Posición C6 y Centrador de piletas por trending') legend(['Centrador de piletas';'Centrador 6*500%']) subplot(322) //Grafico de centrador 6 y centrador de piletas con desfazaje por trayecto de chapa plot(long_salida,amp_factor_pos*c6pos,'b-') plot(long_centro,cpilpos,'r-') plot(0,240) //max eje y plot(0,-240) //max neg eje y xlabel('Metros de chapa [m]') ylabel('Posicion centradores [%]') title('Posición C6 y Centrador de piletas por metro de chapa') legend(['Centrador 6*300%';'Centrador de piletas']) subplot(324) //Grafico de desplazamiento en centrador 6 y centrador de piletas sin desfazaje por trayecto de chapa plot(long_centro,cpildesp,'r-') plot(long_salida,amp_factor_desp*c6desp,'b-') plot(0,240) //max eje y plot(0,-240) //max neg eje y xlabel('Metros de chapa [m]') ylabel('Desplazamiento de chapa [mm]') title('Desplazamiento en C6 y Centrador de piletas por metro de chapa') legend(['Centrador de piletas';'Centrador 6*500%']) //Guardado de variables desde archivo save('variables') clear ans //Guardado de base de datos if guardar == %T then amp_factor_desp_db = [amp_factor_desp_db,amp_factor_desp]; amp_factor_pos_db = [amp_factor_pos_db,amp_factor_pos]; c6desp_db = [c6desp_db,c6desp]; c6pos_db = [c6pos_db,c6pos]; contador_db = [contador_db,contador]; cpildesp_db = [cpildesp_db,cpildesp]; cpilpos_db = [cpilpos_db,cpilpos]; frequency_min_db = [frequency_min_db,frequency_min]; frequency_sec_db = [frequency_sec_db,frequency_seq]; long_centro_db = [long_centro_db,long_centro]; long_salida_db = [long_salida_db,long_salida]; time_db = [time_db,time]; vel_centro_db = [vel_centro_db,vel_centro]; vel_salida_db = [vel_salida_db,vel_salida]; longitud_trk_db = [longitud_trk_db,longitud_trk]; bobina_numero_db = [bobina_numero_db,bobina_numero]; save('ddbb') end if echo == %F then clear amp_factor_desp amp_factor_pos c6desp c6pos contador cpildesp cpilpos frequency_min frequency_seq long_centro long_salida time vel_centro vel_salida longitud_trk bobina_numero end clear ans
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style.displayedLabel="common_source"; pal1=xcosPalAddBlock(pal1, "common_source",[], style); pal1_1=xcosPalAddBlock(pal1_1,"common_source",[],style);
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// Exa 11.5 clc; clear; close; format('v',6) // Given data f = 5;// in kHz f = f * 10^3;// in Hz R1 = 14;// in k ohm R2 = 75;// in k ohm R_C = 18;// in k ohm R = 6;// in k ohm h_ie = 2;// in k ohm k = R_C/R;// in k ohm // f = 1/( 2*%pi*RC*sqrt(6+(4*k)) ); C = 1/( 2*%pi*R*10^3*f*sqrt(6+(4*k)) );// in F C = C * 10^9;// in nF disp(C,"The value of capacitor in nF is"); h_fe= 23+(29/k)+(4*k); disp("The value of h_fe >= "+string(h_fe)) disp("Thus the transistor used mush have a minimum current gain of 45")
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clc // initialization of variables T1=400+273 // initial temperature in kelvin P=600 // pressure in kPa Tsurr=25+273 // surrounding temperature in K m=2 // mass of steam in kg //solution //please refer to steam table for values s1=7.708 // specific entropy of steam @ 400 degree celsius and 0.6 MPa s2=1.9316// specific enropy of condensed water @ 25 degree celsius and 0.6 MPa delSsys=m*(s2-s1) // entropy change in system i.e of steam h1=3270 // specific enthalpy of steam @ 400 degree celsius and 0.6 MPa h2=670.6//specific enropy of condensed water @ 25 degree celsius and 0.6 MPa Q=m*(h1-h2)// heat transfer at constant pressure delSsurr=Q/Tsurr // entropy change in surroundings sigma=delSsys+delSsurr // net entropy change printf("The net entropy production is %.1f kJ/K",sigma)
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//Example 10 // Frequency clc; clear; close b1=10;//beats per second f1=300;//Hz b2=15;//beats per second f2=325;//Hz n1=f1-b1;//Hz n2=f1+b1;//Hz n3=f2-b2;//Hz n4=f2+b2;//Hz disp(n2,"frequency is,(Hz)=")
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Simple Visual Search N2pc.sce
# -------------------------- Header Parameters -------------------------- scenario = "Simple Visual Search N2pc"; write_codes = EXPARAM( "Send Port Codes" ); screen_width_distance = EXPARAM( "Display Width" ); screen_height_distance = EXPARAM( "Display Height" ); screen_distance = EXPARAM( "Viewing Distance" ); default_background_color = EXPARAM( "Background Color" ); default_font = EXPARAM( "Non-Stimulus Font" ); default_font_size = EXPARAM( "Non-Stimulus Font Size" ); default_text_color = EXPARAM( "Non-Stimulus Font Color" ); active_buttons = 2; response_matching = simple_matching; target_button_codes = 1,2; response_logging = EXPARAM( "Response Logging" ); stimulus_properties = event_name, string, block_name, string, block_num, number, trial_num, number, tgt_side, string, tgt_color, string, tgt_gap, string, dist_gap, string, p_code, number, isi_dur, number; event_code_delimiter = ";"; # ------------------------------- SDL Part ------------------------------ begin; trial{ trial_type = first_response; trial_duration = forever; picture{ text { caption = "rest"; preload = false; } instruct_text; x = 0; y = 0; } instruct_pic; } instruct_trial; trial { stimulus_event { picture {} ISI_pic; code = "ISI"; } ISI_event; } ISI_trial; trial { clear_active_stimuli = false; stimulus_event { picture { ellipse_graphic { ellipse_height = EXPARAM( "Fixation Point Size" ); ellipse_width = EXPARAM( "Fixation Point Size" ); color = EXPARAM( "Fixation Point Color" ); } fix_ellipse; x = 0; y = 0; } test_pic; response_active = true; } tgt_event; } tgt_trial; trial { trial_duration = forever; trial_type = specific_response; terminator_button = 1,2; stimulus_event { picture { text { caption = "Rest"; preload = false; } rest_text; x = 0; y = 0; }; code = "Rest"; } rest_event; } rest_trial; trial { stimulus_event { picture { text { caption = "Ready"; preload = false; } ready_text; x = 0; y = 0; }; code = "Ready"; } ready_event; } ready_trial; trial { stimulus_event { picture { text ready_text; x = 0; y = 0; } noise_pic; } noise_event; } noise_trial; # ----------------------------- PCL Program ----------------------------- begin_pcl; include_once "../../Library/lib_visual_utilities.pcl"; include_once "../../Library/lib_utilities.pcl"; # --- CONSTANTS --- # string STIM_EVENT_CODE = "Stim"; string PRACTICE_TYPE_PRACTICE = "Practice"; string PRACTICE_TYPE_MAIN = "Main"; string LOG_ACTIVE = "log_active"; int SIDE_IDX = 1; int GAP_IDX = 2; int X_IDX = 1; int Y_IDX = 2; int TOP_IDX = 1; int BOT_IDX = 2; int LEFT_IDX = 1; int RIGHT_IDX = 2; int CORR_BUTTON = 201; int INCORR_BUTTON = 202; string LEFT_COND = "Left"; string RIGHT_COND = "Right"; string TOP_COND = "Top"; string BOT_COND = "Bottom"; int GRID_COLUMNS = 3; int GRID_ROWS = 5; string TOP_BUTTON_LABEL = "[TOP_BUTTON]"; string BOT_BUTTON_LABEL = "[BOTTOM_BUTTON]"; string COLOR_ONE_LABEL = "[COLOR_ONE]"; string COLOR_TWO_LABEL = "[COLOR_TWO]"; string TGT_COLOR_LABEL = "[TARGET_COLOR]"; rgb_color TRAINING_BG = rgb_color( 128,128,128 ); string CHARACTER_WRAP = "Character"; # --- Set up fixed stimulus parameters --- string language = parameter_manager.get_string( "Language" ); language_file lang = load_language_file( scenario_directory + language + ".xml" ); bool char_wrap = ( get_lang_item( lang, "Word Wrap Mode" ).lower() == CHARACTER_WRAP.lower() ); double font_size = parameter_manager.get_double( "Non-Stimulus Font Size" ); # Set some durations trial_refresh_fix( tgt_trial, parameter_manager.get_int( "Stimulus Duration" ) ); # Set the requested button codes begin array<int> b_codes[2]; b_codes.fill( 1, 0, INCORR_BUTTON, 0 ); response_manager.set_button_codes( b_codes ); b_codes.fill( 1, 0, CORR_BUTTON, 0 ); response_manager.set_target_button_codes( b_codes ); end; # Setup the fixation point if ( parameter_manager.get_bool( "Show Fixation Point During ISI" ) ) then ISI_pic.add_part( fix_ellipse, 0, 0 ); end; if ( !parameter_manager.get_bool( "Show Fixation Point During Stimulus" ) ) then test_pic.clear(); end; # Change response logging if ( parameter_manager.get_string( "Response Logging" ) == LOG_ACTIVE ) then ISI_trial.set_all_responses( false ); tgt_trial.set_all_responses( false ); noise_trial.set_all_responses( false ); end; # --- Stimulus setup --- # # --- sub pixel_round # --- This subroutine rounds a custom unit value to the nearest pixel double custom_to_pixel = double( display_device.height() ) / display_device.custom_height(); double pixel_to_custom = 1.0 / custom_to_pixel; sub double pixel_round( double value ) begin return double( int( ( value * custom_to_pixel ) + 0.5 ) ) * pixel_to_custom end; # Initialize some values array<plane> tgt_planes[2]; plane dist_plane = new plane( 1.0, 1.0 ); double max_dim = 0.0; # Target Colors array<rgb_color> tgt_colors[0]; parameter_manager.get_colors( "Target Colors", tgt_colors ); if ( tgt_colors.count() != 2 ) then exit( "Error: Two colors must be specified in 'Target Colors'" ); end; # Set up the stimuli begin # Get the requested line width (stroke width) double c_line_width = double( parameter_manager.get_int( "Stimulus Line Width" ) ) * pixel_to_custom; # Now add a half-pixel so it draws the correct width double adj_line_width = c_line_width + ( 0.5 * pixel_to_custom ); # Get the requested dim, and subtract out the line width double c_size = parameter_manager.get_double( "Stimulus Size" ); c_size = pixel_round( c_size - ( 2.0 * c_line_width ) ); if ( c_size <= 0.0 ) then exit( "Error: 'Stimulus Line Width' must be reduced, or 'Stimulus Size' increased." ); end; # Check the gap size double c_inset_size = ( c_size - parameter_manager.get_double( "Gap Size" ) ) / 2.0; c_inset_size = pixel_round( c_inset_size ); if ( parameter_manager.get_double( "Gap Size" ) > parameter_manager.get_double( "Stimulus Size" ) ) then exit( "Error: 'Gap Size' must be less than or equal to 'Stimulus Size'" ); end; # Check the sizes of the line width and the C. We need to make sure that if # the line width is even, the coordinates land on whole pixels. If the line width is # odd, the coordinates need to land between pixels. Otherwise, lines may draw # at the incorrect width bool odd_width = mod( int( c_line_width * custom_to_pixel + 0.5 ), 2 ) == 1; bool odd_size = int( c_size ) % 2 == 1; double mod = 0.0; if ( odd_size != odd_width ) then mod = 0.5; end; # Build the distractor C line_graphic my_c = new line_graphic(); my_c.set_join_type( my_c.JOIN_POINT ); my_c.set_line_width( c_line_width ); my_c.set_line_color( parameter_manager.get_color( "Distractor Color" ) ); # If there are "nubs" on the C then we draw them here if ( c_inset_size > 0.0 ) then my_c.add_line( c_size/2.0 + mod, c_size/2.0 - c_inset_size + mod, c_size/2.0 + mod, c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + mod, c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + mod, -c_size/2.0 + mod ); my_c.line_to( c_size/2.0 + mod, -c_size/2.0 + mod ); my_c.line_to( c_size/2.0 + mod, -c_size/2.0 + c_inset_size + mod ); # If there aren't nubs, we skip drawing them but extend the sides by 1/2 the line width to make like # they are there. else my_c.add_line( c_size/2.0 + mod + ( c_line_width/2.0 ), c_size/2.0 + mod, -c_size/2.0 + mod, c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + mod, -c_size/2.0 + mod ); my_c.line_to( c_size/2.0 + mod + ( c_line_width/2.0 ), -c_size/2.0 + mod ); end; my_c.redraw(); # Now copy it to a plane dist_plane.set_size( my_c.width(), my_c.height() ); dist_plane.set_texture( my_c.copy_to_texture() ); dist_plane.set_emissive( rgb_color( 255,255,255 ) ); # Print some values to the terminal to report the actual sizes double gap_size = abs ( ( -c_size/2.0 + c_inset_size ) - ( c_size/2.0 - c_inset_size ) ); term.print_line( "Actual Gap Size: " + string( gap_size ) + " degrees" ); term.print_line( "Actual Stim Height: " + string( my_c.height() ) + " degrees" ); term.print_line( "Actual Stim Width: " + string( my_c.width() ) + " degrees" ); # Store the C dimensions max_dim = my_c.width(); if ( my_c.height() > my_c.width() ) then max_dim = my_c.height(); end; # Build the target c my_c.clear(); if ( c_inset_size > 0.0 ) then my_c.add_line( c_size/2.0 - c_inset_size + mod, c_size/2.0 + mod, c_size/2.0 + mod, c_size/2.0 + mod ); my_c.line_to( c_size/2.0 + mod, -c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + mod, -c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + mod, c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + c_inset_size + mod, c_size/2.0 + mod ); else my_c.add_line( c_size/2.0 + mod, c_size/2.0 + mod, c_size/2.0 + mod, -c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + mod, -c_size/2.0 + mod ); my_c.line_to( -c_size/2.0 + mod, c_size/2.0 + mod ); end; my_c.set_line_color( tgt_colors[1] ); my_c.redraw(); term.print_line( "Rotated Gap Size: " + string( gap_size ) + " degrees" ); term.print_line( "Rotated Stim Height: " + string( my_c.height() ) + " degrees" ); term.print_line( "Rotated Stim Width: " + string( my_c.width() ) + " degrees" ); # Save it to a plane tgt_planes[1] = new plane( my_c.width(), my_c.height() ); tgt_planes[1].set_texture( my_c.copy_to_texture() ); tgt_planes[1].set_emissive( rgb_color( 255,255,255 ) ); # Save the second condition plane my_c.set_line_color( tgt_colors[2] ); my_c.redraw(); tgt_planes[2] = new plane( my_c.width(), my_c.height() ); tgt_planes[2].set_texture( my_c.copy_to_texture() ); tgt_planes[2].set_emissive( rgb_color( 255,255,255 ) ); test_pic.clear(); test_pic.add_3dpart( dist_plane, -0.5, 0.0, 0.0 ); test_pic.add_3dpart( tgt_planes[1], 0.5, 0.0, 0.0 ); end; # Now set up the search grid array<double> grid_locs[2][0][0]; array<double> jitters[2]; int num_stim = parameter_manager.get_int( "Stimuli per Side" ); begin # Get the size of the search array array<double> array_dims[2]; array_dims[X_IDX] = parameter_manager.get_double( "Bounding Box Width" ); array_dims[Y_IDX] = parameter_manager.get_double( "Bounding Box Height" ); double inner_buffer = parameter_manager.get_double( "Bounding Box Horizontal Position" ); # Exit if the requested dimensions are too big if ( array_dims[Y_IDX] > display_device.custom_height() ) then exit( "Error: 'Bounding Box Height' must be reduced." ); end; if ( ( array_dims[X_IDX] + inner_buffer ) > ( display_device.custom_width()/2.0 ) ) then exit( "Error: 'Bounding Box Width' must be reduced." ); end; # Get the total height/width of each possible stimulus slot array<double> slot_dims[2]; slot_dims[X_IDX] = array_dims[X_IDX]/ double(GRID_COLUMNS); slot_dims[Y_IDX] = array_dims[Y_IDX]/ double(GRID_ROWS); # Get the buffer distances double x_buff = parameter_manager.get_double( "Minimum Horizontal Distance Between Stimuli" ); double y_buff = parameter_manager.get_double( "Minimum Vertical Distance Between Stimuli" ); # Get how much stuff can jitter jitters[X_IDX] = ( slot_dims[X_IDX] - max_dim - x_buff )/2.0; jitters[Y_IDX] = ( slot_dims[Y_IDX] - max_dim - y_buff )/2.0; if ( jitters[X_IDX] < 0.0 ) || ( jitters[Y_IDX] < 0.0 ) then exit( "Error: Not enough space for all stimuli. Reduce 'Stimulus Size' or the minimum distance between stimuli, or increase the bounding box size" ); end; # store the x/y locs of the search array(s) loop double x_pos = inner_buffer + slot_dims[X_IDX]/2.0; int i = 1 until i > GRID_COLUMNS begin loop double y_pos = ( array_dims[Y_IDX]/2.0 ) - ( slot_dims[Y_IDX]/2.0 ); int j = 1 until j > GRID_ROWS begin array<double> temp[2]; temp[X_IDX] = x_pos; temp[Y_IDX] = y_pos; grid_locs[RIGHT_IDX].add( temp ); temp[X_IDX] = -x_pos; grid_locs[LEFT_IDX].add( temp ); y_pos = y_pos - slot_dims[Y_IDX]; j = j + 1; end; x_pos = x_pos + slot_dims[X_IDX]; i = i + 1; end; end; # --- Subroutines --- # # --- sub present_instructions array<string> color_names[0]; parameter_manager.get_strings( "Target Color Names", color_names ); if ( color_names.count() != 2 ) then exit( "Error: Two condition names must be specified in 'Condition Color Names'" ); end; array<string> formatted_color_names[2]; formatted_color_names[1] = "<font color='" + string( tgt_colors[1].red_byte() ) + ", "; formatted_color_names[1].append( string( tgt_colors[1].green_byte() ) + ", " ); formatted_color_names[1].append( string( tgt_colors[1].blue_byte() ) + "'>" ); formatted_color_names[1].append( color_names[1] + "</font>" ); formatted_color_names[2] = "<font color='" + string( tgt_colors[2].red_byte() ) + ", "; formatted_color_names[2].append( string( tgt_colors[2].green_byte() ) + ", " ); formatted_color_names[2].append( string( tgt_colors[2].blue_byte() ) + "'>" ); formatted_color_names[2].append( color_names[2] + "</font>" ); int top_button = parameter_manager.get_int( "Response Button Mapping" ); array<string> button_names[2]; button_names[1] = parameter_manager.get_string( "Response Button 1 Name" ); button_names[2] = parameter_manager.get_string( "Response Button 2 Name" ); sub present_instructions( string instruct_string ) begin instruct_string = instruct_string.replace( TOP_BUTTON_LABEL, button_names[top_button] ); instruct_string = instruct_string.replace( BOT_BUTTON_LABEL, button_names[ ( top_button % 2 ) + 1 ] ); instruct_string = instruct_string.replace( COLOR_ONE_LABEL, formatted_color_names[1] ); instruct_string = instruct_string.replace( COLOR_TWO_LABEL, formatted_color_names[2] ); instruct_text.set_formatted_text( true ); full_size_word_wrap( instruct_string, font_size, char_wrap, instruct_text ); instruct_trial.present(); default.present(); end; # --- sub show_rest # Initialize some values int within_rest_dur = parameter_manager.get_int( "Within-Block Rest Duration" ); int between_rest_dur = parameter_manager.get_int( "Between-Block Rest Duration" ); string timed_rest_caption = get_lang_item( lang, "Timed Rest Caption" ); string untimed_rest_caption = get_lang_item( lang, "Untimed Rest Caption" ); sub show_rest( bool within_block ) begin # Get the duration int temp_dur = within_rest_dur; if ( !within_block ) then temp_dur = between_rest_dur; end; # Update the trial type and duration if ( temp_dur == 0 ) then rest_text.set_caption( untimed_rest_caption, true ); rest_trial.set_duration( rest_trial.FOREVER ); rest_trial.set_type( rest_trial.FIRST_RESPONSE ); else rest_text.set_caption( timed_rest_caption, true ); rest_trial.set_duration( temp_dur ); rest_trial.set_type( rest_trial.FIXED ); end; # Show the trial full_size_word_wrap( rest_text.caption(), font_size, char_wrap, rest_text ); rest_trial.present(); end; # --- sub show_reminder string tgt_id_caption = get_lang_item( lang, "Target Reminder Caption" ); sub show_reminder( int tgt_id ) begin string temp_reminder = tgt_id_caption.replace( TGT_COLOR_LABEL, formatted_color_names[tgt_id] ); present_instructions( temp_reminder ); end; # --- sub ready_set_go --- int ready_dur = parameter_manager.get_int( "Ready-Set-Go Duration" ); trial_refresh_fix( ready_trial, ready_dur ); array<string> ready_caps[3]; ready_caps[1] = get_lang_item( lang, "Ready Caption" ); ready_caps[2] = get_lang_item( lang, "Set Caption" ); ready_caps[3] = get_lang_item( lang, "Go Caption" ); sub ready_set_go begin if ( ready_dur > 0 ) then loop int i = 1 until i > ready_caps.count() begin full_size_word_wrap( ready_caps[i], font_size, char_wrap, ready_text ); ready_trial.present(); i = i + 1; end; end; end; # --- sub build_test_pic array<double> stim_rots[2]; stim_rots[TOP_IDX] = 0.0; stim_rots[BOT_IDX] = 180.0; sub build_test_pic( int tgt_rot, int tgt_side, int tgt_number, int dist_rot ) begin # Clear the test pic then add the fixation test_pic.clear(); test_pic.add_part( fix_ellipse, 0, 0 ); # Shuffle the locs grid_locs[LEFT_IDX].shuffle(); grid_locs[RIGHT_IDX].shuffle(); # Loop to add the picture parts loop int j = 1 until j > grid_locs.count() begin loop int k = 1 until k > num_stim begin # Grab a random x/y jitter for this position double x_jitter = double( random_exclude( -1,1,0 ) ) * jitters[X_IDX] * random(); double y_jitter = double( random_exclude( -1,1,0 ) ) * jitters[Y_IDX] * random(); # Get the final x/y value double this_x = grid_locs[j][k][X_IDX] + x_jitter; double this_y = grid_locs[j][k][Y_IDX] + y_jitter; # Add the 3dpart at a random rotation test_pic.add_3dpart( dist_plane, this_x, this_y, 0.0 ); test_pic.set_3dpart_rot( test_pic.d3d_part_count(), 0.0, 0.0, stim_rots[random(1,stim_rots.count() )] ); # If this is the last stim, we need to add a target/distractor if ( k == num_stim ) then if ( j == tgt_side ) then test_pic.set_3dpart( test_pic.d3d_part_count(), tgt_planes[tgt_number] ); test_pic.set_3dpart_rot( test_pic.d3d_part_count(), 0.0, 0.0, stim_rots[tgt_rot] ); else test_pic.set_3dpart( test_pic.d3d_part_count(), tgt_planes[( tgt_number % 2 ) + 1] ); test_pic.set_3dpart_rot( test_pic.d3d_part_count(), 0.0, 0.0, stim_rots[dist_rot] ); end; end; k = k + 1; end; j = j + 1; end; end; # --- sub show_block # Initialize some values array<int> buttons[2]; buttons[TOP_IDX] = parameter_manager.get_int( "Response Button Mapping" ); buttons[BOT_IDX] = ( buttons[TOP_IDX] % 2 ) + 1; array<string> side_cond_names[2]; side_cond_names[LEFT_IDX] = LEFT_COND; side_cond_names[RIGHT_IDX] = RIGHT_COND; array<string> gap_cond_names[2]; gap_cond_names[TOP_IDX] = TOP_COND; gap_cond_names[BOT_IDX] = BOT_COND; array<int> ISI_range[0]; parameter_manager.get_ints( "ISI Range", ISI_range ); if ( ISI_range.count() != 2 ) then exit( "Error: Two values must be specified in 'ISI Range'" ); end; int trials_per_rest = parameter_manager.get_int( "Trials Between Rest Breaks" ); sub show_block( array<int,2>& order, int block_num, int tgt_id, string prac_check ) begin # Shuffle the order order[SIDE_IDX].shuffle(); order[GAP_IDX].shuffle(); # Ready set go ready_set_go(); ISI_trial.set_duration( random( ISI_range[1], ISI_range[2] ) ); ISI_trial.present(); # Loop to present stimuli loop int i = 1 until i > order[1].count() begin # Get some trial information int tgt_side = order[SIDE_IDX][i]; int dist_gap = random( 1, stim_rots.count() ); int tgt_gap = order[GAP_IDX][i]; build_test_pic( tgt_gap, tgt_side, tgt_id, dist_gap ); # Get port code int p_code = int( string( tgt_id ) + string( tgt_side ) + string( tgt_gap ) ); tgt_event.set_port_code( p_code ); # Set target button tgt_event.set_target_button( buttons[tgt_gap] ); # Setup ISI trial_refresh_fix( ISI_trial, random( ISI_range[1], ISI_range[2] ) ); # Set event code tgt_event.set_event_code( STIM_EVENT_CODE + ";" + prac_check + ";" + string( block_num ) + ";" + string( i ) + ";" + side_cond_names[tgt_side] + ";" + color_names[tgt_id] + ";" + gap_cond_names[tgt_gap] + ";" + gap_cond_names[dist_gap] + ";" + string( p_code ) + ";" + string( ISI_trial.duration() ) ); # Trial sequence tgt_trial.present(); ISI_trial.present(); # Do rest sequence if ( trials_per_rest > 0 ) && ( prac_check == PRACTICE_TYPE_MAIN ) then if ( i % trials_per_rest == 0 ) && ( i < order[1].count() ) then show_rest( true ); show_reminder( tgt_id ); ready_set_go(); ISI_trial.present(); end; end; i = i + 1; end; end; # --- Trial Order & Conditions --- # int trials_per_block = parameter_manager.get_int( "Trials per Block" ); array<int> trial_order[2][trials_per_block]; trial_order[SIDE_IDX].fill( 1, 0, LEFT_IDX, 0 ); trial_order[SIDE_IDX].fill( 1, trials_per_block/2, RIGHT_IDX, 0 ); double top_gap_prop = parameter_manager.get_double( "Top Gap Proportion" ); int top_gap_trials = int( round( double( trials_per_block ) * top_gap_prop, 0 ) ); trial_order[GAP_IDX].fill( 1, 0, BOT_IDX, 0 ); trial_order[GAP_IDX].fill( 1, top_gap_trials, TOP_IDX, 0 ); int prac_trials = parameter_manager.get_int( "Practice Trials" ); array<int> prac_trial_order[2][prac_trials]; if ( prac_trials > 0 ) then prac_trial_order[SIDE_IDX].fill( 1, 0, LEFT_IDX, 0 ); prac_trial_order[SIDE_IDX].fill( 1, prac_trials/2, RIGHT_IDX, 0 ); int prac_top_trials = int( round( double( prac_trials ) * top_gap_prop, 0 ) ); prac_trial_order[GAP_IDX].fill( 1, 0, BOT_IDX, 0 ); prac_trial_order[GAP_IDX].fill( 1, prac_top_trials, TOP_IDX, 0 ); end; array<int> block_order[0]; parameter_manager.get_ints( "Target Color Order", block_order ); if ( block_order.count() == 0 ) then exit( "Error: At least one value must be specified in 'Block Order'" ); elseif ( parameter_manager.get_bool( "Randomize Block Order" ) ) then block_order.shuffle(); end; # --- Main Sequence --- # string practice_caption = get_lang_item( lang, "Practice Caption" ); string prac_complete_caption = get_lang_item( lang, "Practice Complete Caption" ); string instructions = get_lang_item( lang, "Main Instructions" ); loop int i = 1 until i > block_order.count() begin # Block setup int this_tgt = block_order[i]; # Do the practice and/or show the instructions if ( i == 1 ) then present_instructions( instructions ); if ( prac_trials > 0 ) then string temp_reminder = tgt_id_caption.replace( TGT_COLOR_LABEL, formatted_color_names[this_tgt] ); present_instructions( temp_reminder + " " + practice_caption ); show_block( prac_trial_order, i, this_tgt, PRACTICE_TYPE_PRACTICE ); present_instructions( prac_complete_caption ); end; end; show_reminder( this_tgt ); # Show the block show_block( trial_order, i, this_tgt, PRACTICE_TYPE_MAIN ); if ( i < block_order.count() ) then show_rest( false ); end; # Increment i = i + 1; end; present_instructions( get_lang_item( lang, "Completion Screen Caption" ) );
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function [x,y,typ]=SUPER_f(job,arg1,arg2) x=[];y=[],typ=[] select job case 'plot' then standard_draw(arg1) case 'getinputs' then [x,y,typ]=standard_inputs(arg1) case 'getoutputs' then [x,y,typ]=standard_outputs(arg1) case 'getorigin' then [x,y]=standard_origin(arg1) case 'set' then graphics=arg1(2);label=graphics(4) model=arg1(3); x=model(8) while %t do [x,newparameters,needcompile]=scicos(model(8)) model(8)=x nin=0;nout=0;nclkin=0;nclkout=0; in=[],out=[],cin=[],cout=[] inp=[],outp=[],cinp=[],coutp=[] for k=2:size(x) o=x(k) if o(1)=='Block' then modelb=o(3) select o(5) case 'IN_f' then nin=nin+1 inp=[inp modelb(9)] in=[in;modelb(3)] case 'OUT_f' then nout=nout+1 outp=[outp modelb(9)] out=[out;modelb(2)] case 'CLKIN_f' then nclkin=nclkin+1 cinp=[cinp modelb(9)] cin=[cin;modelb(5)] case 'CLKINV_f' then nclkin=nclkin+1 cinp=[cinp modelb(9)] cin=[cin;modelb(5)] case 'CLKOUT_f' then nclkout=nclkout+1 coutp=[coutp modelb(9)] cout=[cout;modelb(4)] case 'CLKOUTV_f' then nclkout=nclkout+1 coutp=[coutp modelb(9)] cout=[cout;modelb(4)] end end end ok=%t mess=[] if nin>0 then [inp,k]=sort(-inp) if ~and(inp==-(1:nin)) then mess=[mess; 'Super_block input ports must be numbered'; 'from 1 to '+string(nin);' '] ok=%f end in=in(k) end if nout>0 then [outp,k]=sort(-outp) if ~and(outp==-(1:nout)) then mess=[mess; 'Super_block output ports must be numbered'; 'from 1 to '+string(nout);' '] ok=%f end out=out(k) end if nclkin>0 then [cinp,k]=sort(-cinp) if ~and(cinp==-(1:nclkin)) then mess=[mess; 'Super_block event input ports must be numbered'; 'from 1 to '+string(nclkin);' '] ok=%f end cin=cin(k) end if nclkout>0 then [coutp,k]=sort(-coutp) if ~and(coutp==-(1:nclkout)) then mess=[mess; 'Super_block event output ports must be numbered'; 'from 1 to '+string(nclkout);' '] ok=%f end cout=cout(k) end if ok then [model,graphics,ok]=check_io(model,graphics,in,out,cin,cout) else message(mess) end if ok then model(8)=x model(11)=[] //compatibility x=arg1;x(3)=model;x(2)=graphics; y=needcompile typ=newparameters break end end case 'define' then model=list('super',1,1,[],[],[],' ',.. list(list([600,450,0,0],'Super Block',[],[],[])),[],'h',[],[%f %f]) gr_i=['thick=xget(''thickness'');xset(''thickness'',2);'; 'xx=orig(1)+ [2 4 4]*(sz(1)/7);'; 'yy=orig(2)+sz(2)-[2 2 6]*(sz(2)/10);'; 'xrects([xx;yy;[sz(1)/7;sz(2)/5]*ones(1,3)]);'; 'xx=orig(1)+ [1 2 3 4 5 6 3.5 3.5 3.5 4 5 5.5 5.5 5.5]*sz(1)/7;'; 'yy=orig(2)+sz(2)-[3 3 3 3 3 3 3 7 7 7 7 7 7 3 ]*sz(2)/10;'; 'xsegs(xx,yy,0);'; 'xset(''thickness'',thick)'] x=standard_define([2 2],model,[],gr_i) end
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//A Textbook of Chemical Engineering Thermodynamics //Chapter 4 //Second Law of Thermodynamics //Example 18 clear; clc; //Given: m_oil = 5000; //mass flow rate of hydrocarbon oil (kg/h) Tin_oil = 425; //inlet temperature of oil (K) Tout_oil = 340; //exit temperature of oil (K) m_water = 10000; //mass flow rate of water (kg/h) Tin_water = 295; //inlet temperature of water (K) c_oil = 2.5; //mean specific heat of oil (kJ/kg K) c_water = 4.2; //mean specific heat of water (kJ/kg K) //To determine total change in entropy and available work //(a) //By energy balance Tout_water = ((m_oil*c_oil*(Tin_oil-Tout_oil))/(m_water*c_water))+295; //exit temperature of water (K) S_oil = m_oil*c_oil*log(Tout_oil/Tin_oil); //change in entropy of oil (kJ/K) S_water = m_water*c_water*log(Tout_water/Tin_water); //change in entropy of water (kJ/K) S_tot = S_oil+S_water; //total entropy change mprintf('The total entropy change is %f kJ/K',S_tot); //(b) To = 295; //temperature at which heat is rejected to surrounding (K) //Let Q be heat given out by the oil on cooling Q = m_oil*c_oil*(Tin_oil-Tout_oil); //Heat rejected to the surrounding at To by the Carnot Engine is given by //Q2 = To(Q/T) = -To*S_oil Q2 = -To*S_oil; //(kJ) //Let W be the work output of engine W = Q-Q2; mprintf('\nThe work output of the engine would be %4.3e kJ', W); //end
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clear // // // //Variable declaration h=6.625*10^-34; //planck's constant(J-sec) m=1.675*10^-27; //mass of neutron(kg) e=1.6*10^-19; //charge of electron(c) E=12.8*10^6; //energy of neutron(eV) //Calculations v=sqrt(2*E*e/m); //velocity(m/sec) lamda=h/(m*v); //de-broglie wavelength of neutron(m) //Result printf("\n de-broglie wavelength of neutron is %0.3f *10^-15 m",lamda*10^15) printf("\n answer in the book is wrong")
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//Example 8.6 clc clear function [f] = f1(x,y,p) f = p; endfunction function [f] = f2(x,y,p) f = 0.1*(1-y^2)*p - y; endfunction x0 = 0; y0 = 1; p0 = 0; h = 0.2; x = 0.2; n = (x-x0)/h; for i = 1:n k1 = h*f1(x0,y0,p0); l1 = h*f2(x0,y0,p0); k2 = h*f1(x0+h/2,y0+k1/2,p0+l1/2); l2 = h*f2(x0+h/2,y0+k1/2,p0+l1/2); k3 = h*f1(x0+h/2,y0+k2/2,p0+l2/2); l3 = h*f2(x0+h/2,y0+k2/2,p0+l2/2); k4 = h*f1(x0+h,y0+k3,p0+l3); l4 = h*f2(x0+h,y0+k3,p0+l3); y = y0 + 1/6*(k1+2*(k2+k3)+k4); p = p0 + 1/6*(l1+2*(l2+l3)+l4); y = round(y*10^4)/10^4; p = round(p*10^4)/10^4; end disp(y,"y(0.2) = ") disp(p,"y''(0.2) = ")
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clc; clear all; ur=16;//relative permiability I=3300;//intensity of magnetization H=I/(ur-1);//strength of the field disp('A/m',H,'strength of the field');
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//EXAMPLE 8-20 PG NO-535 Ro=450; Fc=20000; L=Ro/(4*%pi*Fc); C=1/(4*%pi*Fc*Ro); Z1=Ro/(2*%pi*Fc); disp('i) IMPEDANCE (Z1) is = '+string (Z1) +' ');
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// Additional functions function [x, y] = sortByX(x, y) //********************************************************************* // Sorting by "x" array. Others arrays, that stores in "y" variable, * // will be sorted in accordance with with "x" array. * //********************************************************************* n = length(x); col = size(y, 'c'); for j = 1 : n for i = 2 : n if (x(i) < x(i - 1)) tempX = x(i); x(i) = x(i - 1); x(i - 1) = tempX; for k = 1 : col tempY(k) = y(i, k); y(i, k) = y(i - 1, k); y(i - 1, k) = tempY(k); end end end end endfunction // Mathematical functions function yu = interExtraPolation(x, y, xu) //******************************************************** // The function of the linear inter- and extrapolations * //******************************************************** n = length(x); i = 2; while (xu > x(i)) i = i + 1; if (i > n) x1 = x(n - 1); x2 = x(n); y1 = y(n - 1); y2 = y(n); yu = (xu - x1) * (y2 - y1) / (x2 - x1) + y1; return; end end if (xu == x(i)) yu = y(i); return; elseif (xu < x(i)) x1 = x(i - 1); x2 = x(i); y1 = y(i - 1); y2 = y(i); yu = (xu - x1) * (y2 - y1) / (x2 - x1) + y1; end endfunction // Approximation function coef = coeffs_trend_n(x, y, n) //***************************************************************** // The function, that calculate coefficients of n-degree trend * // In: x, y - the arrays of points, that approximate * // n - the polynomial power value * // Out: the trend coefficients: a, b, c, d ... - coef(1 2 3 4...) * //***************************************************************** M = 2 * n + 1; for j = 1 : n + 1 for i = 1 : n + 1 K(j, i) = sum(x .^ (M - i - j + 1)); end end K(n + 1, n + 1) = length(x); for i = 1 : n + 1 S(i) = sum(x .^ (n + 1 - i) .* y); end coef = inv(K) * S; endfunction function y_apr = approximation(x_init, y_init, x_apr, powers, Nrows_apr, Ncols_apr) //**************************************************************************************************** // Function, that perform approximation of distributions points by polynomial line with any power. * // The main features are: * // - perform the calculation of approximate values for "x_apr" array values; * // - if arrays "x_init", "y_init" and "x_apr" is more than 1-dimension arrays (need to * // approximate more than 1 line), every line can be approximated by the different powers, * // stores in the "powers" array variable. * // In: x_init - array of the "x" initial points values * // y_init - array of the "y" initial points values * // x_apr - array of the "x" approximation line points values * // powers - array of the polynomial powers (for every approximation line) * // Out: y_apr - array of the "y" polynomial line points values * //**************************************************************************************************** y_apr(Nrows_apr, Ncols_apr) = 0; for i = 1 : Ncols_apr coefs = coeffs_trend_n(x_init, y_init(:, i), powers(i)); // define the polynomial coefficients for the current line for j = 1 : powers(i) + 1 y_apr(:, i) = y_apr(:, i) + coefs(j) * x_apr .^ (powers(i) + 1 - j); end end endfunction // Data & Time function date_time_str = getDateTimeString() //******************************************************************** // Preparing the string in the format: "year.month.day_hour:min:sec" * //******************************************************************** date_time_int = round(datevec(now())); date_time_str = sprintf("%i.%i.%i_%i:%i:%i", date_time_int(1), date_time_int(2),.. date_time_int(3), date_time_int(4),.. date_time_int(5), date_time_int(6)); endfunction
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clc clear clf() t=linspace(-%pi,%pi,30); function z=my_surface(x, y),z=x*sin(x)^2*cos(y),endfunction contour(t,t,my_surface,10)
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Ex3_40.sce
//Example 3_40 clc; clear; close; format('v',7); //given data : R=10;//ohm L=100;//mH C=20;//micro F V=100;//V f0=1/2/%pi*sqrt(1/(L/1000*C*10^-6)-R^2/(L/1000)^2);//Hz disp(f0,"Resonant frequency(Hz)"); Q=2*%pi*f0*L/1000/R;//Q-factor disp(Q,"Q-factor"); Z0=L/1000/(C*10^-6)/R;//ohm disp(Z0,"Dynamic Impedence(ohm)"); I0=V/Z0;//A disp(I0,"Current at resonance(A)"); //Answer is not accurate in the book.
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example3_20.sce
// Calculate input voltage,value of filter // Basic Electronics // By Debashis De // First Edition, 2010 // Dorling Kindersley Pvt. Ltd. India // Example 3-20 in page 163 clear; clc; close; // Given data Vdc=30; // DC voltage in volts Rl=1000; // Load resistance in ohms gamma_fwr=0.015; // Ripple factor // Calculation Idc=Vdc/Rl; C=2900/(gamma_fwr*Rl); Vm=Vdc+((5000*Idc)/C); Vi=(2*Vm)/sqrt(2); printf("Value of capacitor filter = %0.0f mu-F",C); printf("Input voltage required = %0.2f V\n",Vi); // Result // V_in = 43.52 V // C = 193 mu-F
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// Display mode mode(0); // Display warning for floating point exception ieee(1); clear; clc; disp("Engineering Thermodynamics by Onkar Singh Chapter 12 Example 8") mc=20;//mass of oil in kg/min Tc_out=100;//initial temperature of oil in degree celcius Th_in=30;//final temperature of oil in degree celcius Th_out=25;//temperature of water in degree celcius Cpc=2;//specific heat of oil in KJ/kg K Cph=4.18;//specific heat of water in KJ/kg K mh=15;//water flow rate in kg/min U=25;//overall heat transfer coefficient in W/m^2 K disp("This oil cooler has arrangement similar to a counter flow heat exchanger.") disp("by heat exchanger,Q=U*A*LMTD=mc*Cpc*(Tc_out-Th_in)=mh*Cph*(Tc_in-Th_out)") disp("so Q in KJ/min") Q=mc*Cpc*(Tc_out-Th_in) disp("and T=Th_out+(Q/(mh*Cph))in degree celcius") T=Th_out+(Q/(mh*Cph)) disp("LMTD=(deltaT_in-deltaT_out)/log(deltaT_in/deltaT_out)in degree ") disp("here deltaT_in=Tc_out-T in degree celcius") deltaT_in=Tc_out-T disp("deltaT_out=Th_in-Th_out in degree celcius") deltaT_out=Th_in-Th_out disp("so LMTD in degree celcius") LMTD=(deltaT_in-deltaT_out)/log(deltaT_in/deltaT_out) disp("substituting in,Q=U*A*LMTD") disp("A=(Q*10^3/60)/(U*LMTD)in m^2") A=(Q*10^3/60)/(U*LMTD) disp("so surface area=132.85 m^2")
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fftshift1.sci
function y= fftshift1(X,DIM) //Perform a shift of the vector X, for use with the 'fft1' and 'ifft1' functions, in order the move the frequency 0 to the center of the vector or matrix. //Calling Sequence // fftshift1 (X) // fftshift1 (X, DIM) //Parameters //X:It is a vector of N elements corresponding to time samples //DIM: The optional DIM argument can be used to limit the dimension along which the permutation occurs //Description //This is an Octave function. //Perform a shift of the vector X, for use with the 'fft1' and 'ifft1' functions, in order the move the frequency 0 to the center of the vector or matrix. // //If X is a vector of N elements corresponding to N time samples spaced by dt, then 'fftshift1 (fft1 (X))' corresponds to frequencies // //f = [ -(ceil((N-1)/2):-1:1)*df 0 (1:floor((N-1)/2))*df ] // //where df = 1 / dt. // //If X is a matrix, the same holds for rows and columns. If X is an array, then the same holds along each dimension. // //The optional DIM argument can be used to limit the dimension along which the permutation occurs. rhs= argn(2); if(rhs <1 | rhs >2) error('Wrong number of Input arguments'); end select(rhs) case 1 then y=callOctave("fftshift",X); case 2 then y=callOctave("fftshift",X,DIM); end endfunction
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function [mat]=tridiagonale(A) n=size(A,1); for i=1:n mat(i,i)=A(i,i); end for (i=2:n) mat(i-1,i)=A(i-1,i); mat(i,i-1)=A(i,i-1); end // facto endfunction function [L,U]=factorisation(mat) //on fait appel a la fonction tridiagonale pour assurer que la matrice donnée est tridiagonale [mat]=tridiagonale(A); for k=1:n-1 i=k+1:n; mat(i,k)=mat(i,k)/mat(k,k); j=k+1:n; mat(i,j)=mat(i,j)-mat(i,k)*mat(k,j) end //expression de U U=triu(mat); // expression de L L=tril(mat) L(1:n+1:$)=1; endfunction
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// 08.05.19 // Structure changed // 09.10.11 function PL=Mixmake(varargin) PL=list(); for I=1:length(varargin) Tmp=varargin(I); PL=Mixadd(PL,Tmp); end endfunction
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clc clear //Input data CV=42000;//The calorific value of the fuel in kJ/kg pa=5//Percentage of compression Pa=1.2;//Pressure in the cylinder at 5% compression stroke pb=75//Percentage of compression Pb=4.8;//Pressure in the cylinder at 75% compression stroke g=1.3;//polytropic index g1=1.4//Isentropic index n=0.6;//Air standard efficiency //Calculations V=(Pb/Pa)^(1/1.3);//Ratio of volumes r=(V*(pb/100)-(pa/100))/((1-(pa/100))-(V*(1-(pb/100))))//Compression ratio n1=((1-(1/r)^(g1-1)))*100//Relative efficiency nthj=n*(n1/100)//Indicated thermal efficiency x=(1/(CV*nthj))*3600//Specific fuel consumption in kg/kW.h //Output printf('The compression ratio of the engine is %3.1f \n The specific fuel consumption is %3.3f kg/kW.h',r,x)
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clc //initialisation of variables w= 62.4 //lbs/ft^3 h= 9 //ft l= 10 //ft //CALCULATIONS P= w*h^2/2 h1= h/3 Ra= P/2 x= (w*4*h^2/9)/Ra x1= x+(h/3) hb= h1-x W= Ra*l //RESULTS printf ('magnitude od total in each beam= %.f lbs ',W)
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//Ex4_11 Refer fig 4.7(b)// ANS is not correct check &correct clc RF=6*10^(3) disp("RF= "+string(RF)+ " ohm") // feedback resistance VDD=(20) disp("VDD= "+string(VDD)+" volts") // Drain voltage supply disp("part(i) ")// part(i) of this question VT=(2) disp("VT= "+string(VT)+" volts") // Threshold voltage for EMOSFET KF=0.25*10^(-3) disp("KF= "+string(KF)+" A/V^2") // Constant for EMOSFET ID=1*10^(-3) disp("ID = "+string(ID)+" A") // drain current EMOSFET in Ampere RL=[VDD-VT-sqrt(ID/KF)]/ID // Using formulae ID=KF*(VDD-ID*RL-VT) disp("RL=[VDD-VT-sqrt(ID/KF)]/ID= "+string(RL)+ " ohm") //Load resistance disp("part(ii) ")// part(ii) of this question VT=(3) disp("VT= "+string(VT)+" volts") // Threshold voltage for EMOSFET KF=0.375*10^(-3) disp("KF= "+string(KF)+" A/V^2") // Constant for EMOSFET disp("Quadratic equation =(256)*ID^(2)-(546.67)*ID+289=0")//IDS=KF*(VGS-VT)^2 =KF*(VDS-VT)^2 and VDS=VDD-ID*RL,so Quadratic equation is:IDS=KF*(VDD-ID*RL-VT)^2 ,where ID in mA p = [256 -546.66 289] ID=roots(p)*10^(-3)//values of ID converted into Ampere by multiplying by 10^(-3) disp("ID = "+string(ID)+" A") // drain current EMOSFET in Ampere VDS=VDD-ID*RL// Drain voltage for ID = 1.173 mA and ID = 0.962 mA disp("VDS =VDD-ID*RL = "+string(VDS)+" volts") // Drain voltage IDQ=0.962*10^(-3) disp("IDQ ="+string(IDQ)+" A")//Since VDS < VT for ID=1.173 mA, hence ID = 1.173 mA cannot be chosen, so we chose ID= 0.962 mA as operating drain current IDQ Percentage_change=[(1-0.962)*100]/(1) disp("Percentage change= "+string(Percentage_change)+" percent")// Percent change in IDQ value from 1 mA(part(i)) to its value ( of part(ii))IDQ=0.91mA // NOTE: part(ii):the values of ID = 1.173 mA or ID = 0.962 mA but in book given as ID= 1.197 mA and ID = 0.939 mA .Hence (correct) Percentage_change in ID= 3.8 % but in book given as 6.1 %
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// Caption: Finding Induced voltage of a magnetic circuit close; clc; syms t w=2*%pi*60//angular frequency B=1.0*sin(w*t); N=500; A=9*10^-4; e=N*A*diff(B,t); disp(e,'Induced Voltage = ');
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10 #rooms ##end e 4 1 r11 1 1 r12 1 2 r13 1 3 r22 2 2 r23 2 3 r33 3 3 r14 1 4 r24 2 4 r34 3 4 r44 4 4 r54 5 4 r64 6 4 ##start s 0 0 #links #from start s-r11 s-r12 s-r13 s-r14 #from end e-r33 e-r22 e-r11 e-r64 #internal links r11-r12 r11-r22 r12-r13 r12-r22 r13-r23 r22-r23 r22-r33 r23-r33 #for N=10 this path havn't to work! r14-r24 r24-r34 r34-r44 r44-r54 r54-r65
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clc //initialization of new variables clear W=275 //kg rho_c=1.22 //kg/m^3 D=15 //m g=9.8 //m/s^2 Tc=290 //K //calculations L=W*g Tr=1-(6*L/(rho_c*g*%pi*D^3)) // Tc/Th Th=Tc/Tr //result printf('The temperature required is % .1f K',Th)
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clc //Example 15.9 //Install Symbolic toolbox //Find the inverse Laplace transform syms s s=%s //Let a=1 and b=3 a=1;b=3; V=1/((s+a)*(s+b)) Vp=pfss (V) Vp1=ilaplace(Vp(1)) Vp2=ilaplace(Vp(2)) v=Vp1+Vp2 disp(v,'v(t)=')
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//Example 1.7://limiting error clc; clear; close; fse=1;//full scale deflection vr=150;//range in volts ev=(fse/100)*vr;//voltas v1=100;//volts le100=((ev)/v1)*100;//in percentage ve=100;//range in mA ee=(fse/100)*ve;//mA e1=55;//mA le50=((ee/e1)*100);//in percentage ler=le100+le50;// disp(ler,"limiting error for power is, (%)=")
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//Exa 6.6 clc; clear; close; // given : f_MHz=172 // frequency in MHz c=3*10^8 // speed of light in m/s lambda=c/f_MHz // wavelength in m La=478/f_MHz // length of driven element in feet Lr=492/f_MHz // length of reflector in feet Ld=461.5/f_MHz // length of director in feet S=142/f_MHz // element spacing in feet disp(La,"length of driven element in feet:") disp(Lr,"length of reflector in feet:") disp(Ld,"length of director in feet:") disp(S,"element spacing in feet:")
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#************************************************************ # Scenario of humanTestEnv # # date : Wed Mar 6 17:44:03 2013 #************************************************************ p3d_sel_desc_name P3D_ENV humanTestEnv p3d_sel_desc_name P3D_ROBOT HERAKLES_HUMAN1 p3d_set_robot_steering_method Linear p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 -0.014000 -1.354000 0.809730 0.000000 0.000000 93.959349 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 84.132000 -13.500000 -1.296000 0.069068 19.616929 0.000000 0.000000 0.000000 0.000000 -76.896000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 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0.000000 0.000000 0.000000 -0.650535 -0.204575 1.040293 74.988150 23.394585 -178.000409 -0.116916 -0.092738 0.480933 137.246776 -49.852550 -118.849496 p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.058000 -0.110000 0.000000 0.000000 0.000000 -100.836000 0.310000 0.000000 0.000000 0.000000 -3.961000 -1.246000 -125.153000 -92.714000 180.000000 -34.569000 -96.336000 0.000000 0.000000 -4.966000 79.626000 83.104000 -54.144000 82.692000 -62.511000 179.153866 0.000000 0.000000 0.000000 0.000000 0.000000 0.107522 -0.709624 0.849858 3.779789 38.871127 -46.698229 -0.116916 -0.111738 0.480933 137.246776 -49.852550 -118.849496 p3d_set_robot_config Config__1 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.058000 -0.110000 0.000000 0.000000 0.000000 -100.836000 0.310000 0.000000 0.000000 0.000000 -29.623000 21.722000 -81.014000 -32.146000 -29.808000 -54.776000 -22.644000 0.000000 0.000000 -4.966000 79.626000 83.104000 -54.144000 82.692000 -62.511000 179.153866 0.000000 0.000000 0.000000 0.000000 0.000000 -0.334613 -0.806522 0.837364 -110.136867 34.183515 28.759198 -0.116916 -0.092738 0.480933 137.246776 -49.852550 -118.849496 p3d_set_robot_config Config__2 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.058000 -0.110000 0.000000 0.000000 0.000000 -100.836000 0.310000 0.000000 0.000000 0.000000 -3.961000 -1.246000 -125.153000 -92.714000 180.000000 -34.569000 -96.336000 0.000000 0.000000 -4.966000 79.626000 83.104000 -54.144000 82.692000 -62.511000 179.153866 0.000000 0.000000 0.000000 0.000000 0.000000 0.107522 -0.709624 0.849858 3.779789 38.871127 -46.698229 -0.116916 -0.111738 0.480933 137.246776 -49.852550 -118.849496 p3d_constraint p3d_lin_rel_dofs 1 15 1 14 2 1.000000 0.000000 0 p3d_constraint p3d_lin_rel_dofs 1 25 1 24 2 1.000000 0.000000 0 p3d_constraint p3d_pr2_arm_ik 7 6 7 9 10 11 12 13 1 32 0 1 8 p3d_set_cntrt_Tatt 2 1.000000 0.000000 0.000000 -0.180000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 p3d_set_cntrt_Tatt2 2 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 1.000000 0.000000 0.000000 -0.180000 p3d_constraint p3d_pr2_arm_ik 7 16 17 19 20 21 22 23 1 33 0 1 18 p3d_set_cntrt_Tatt 3 1.000000 0.000000 0.000000 -0.180000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 p3d_set_cntrt_Tatt2 3 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 1.000000 0.000000 0.000000 -0.180000 p3d_constraint p3d_fix_jnts_relpos 1 32 1 13 0 0 p3d_set_cntrt_Tatt 4 1.000000 0.000000 0.000000 0.180000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 p3d_constraint p3d_fix_jnts_relpos 1 33 1 23 0 0 p3d_set_cntrt_Tatt 5 1.000000 0.000000 0.000000 0.180000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 p3d_set_object_base_and_arm_constraints 32 1 0 2 2 3 p3d_set_arm_data 2 3 32 p3d_set_arm_data 3 3 33 p3d_sel_desc_name P3D_ROBOT TABLE p3d_set_robot_steering_method Linear p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 -0.004000 -0.720000 0.000000 0.000000 0.000000 -90.000000 p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 p3d_sel_desc_name P3D_ROBOT Cup1 p3d_set_robot_steering_method Linear p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.165000 -0.781000 0.725000 0.000000 0.000000 43.056000 p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 p3d_sel_desc_name P3D_ROBOT Cup2 p3d_set_robot_steering_method Linear p3d_set_robot_current 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 -0.304000 -0.696000 0.730000 0.000000 0.000000 -15.840000 p3d_set_robot_goto 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 p3d_set_camera_pos -0.319258 -0.641405 0.781993 2.042140 5.979435 0.852500 0.000000 0.000000 1.000000 0.000000
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// Ex 10 Page 350 clc;clear;close; // Given V=400;//V f=50;//Hz n=3;//no of phase R=100;//ohm //Star connection Vph=V/sqrt(n);//V Iph=Vph/R;//A IL=Iph;//A cos_fi=1;// for only resitor load P=sqrt(3)*V*IL*cos_fi/1000;//kW printf("Star Connection : P=%.1f kW",P) //Delta Connection Vph=V;//V Iph=Vph/R;//A IL=sqrt(3)*Iph;//A VL=Vph;//V P=sqrt(3)*VL*IL*cos_fi/1000;//kW printf("\n Delta Connection : P=%.1f kW",P)
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errcatch(-1,"stop");mode(2);//caption:Find (a)value of R1 and R2(b)change in value of R2(c)half scale deflection //Ex5.11 Ifsd=0.001//current(in A) Rm=100//internal resistance(in ohm) E=9//battery voltage(in V) Rh=5000//half scale deflection(in ohm) R1=Rh-((Ifsd*Rm*Rh)/E) disp(R1,'(a)value of R1(in ohm)=') R2=(Ifsd*Rm*Rh)/(E-Ifsd*Rh) disp(R2,'(a)value of R2(in ohm)=') Eo=E-0.9 Ro=(Ifsd*Rm*Rh)/(Eo-Ifsd*Rh) disp(Ro,'(b)change in value of R2(in ohm)=') Rh2=R1+((Ro*Rm)/(Ro+Rm)) disp(Rh2,'(c)half scale deflection(in ohm)=') exit();
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//============================================================================================================== // chapter 3 example 18 clc; clear; //input data A = 6*10^-4; //area in m^2 l = 0.5; //length in m u = 65*10^-4; //permiability in H/m phi = 4*10^-5; // magnetic flux in Wb //calculation B = phi/A; H = B/u; N = H*l; //result mprintf('number of turns =%1f\n',N); mprintf(' Note: calculation mistake in textbook in calculattig H by taking B value as 0.06 instead of 0.0666'); //=====================================================================================================================
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clc; clear all; disp("Rate of cooling") A=1;//m^2 T=20;// degree C Ts=90;// degree C U=2;//m/s velocity of air rhog=2500;// kg/m^3 density of glass mu=19.8*10^(-6);// N.s/m^2 viscosity L=1;//m length k=0.0286;//W/m.C cpa=1008;//J/kg.K rhoa=1.076;// kg/m^3 density of air Re=rhoa*U*L/mu; Pr=mu*cpa/k; Nu=0.664*Re^0.5*Pr^(1/3); h=Nu*k/L; disp("W/m^2.C",h,"Heat transfer coefficient =") Q=2*h*A*(Ts-T); disp("W",Q,"Heat transfer rate =") t=3/1000;// thickness m=rhog*A*t;// mass of glass cp=670;//J/kg.K delT=Q/(m*cp); disp("degree C/s",delT,"Initial heating rate =")
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clear// //Variables l = 120 //length of wire (in meter) d = 0.25 * 10**-2 //Diameter of cross section (in meter) p = 1.7 * 10**-8 //Resistivity (in ohm-meter) //Calculation r = d/2 //Radius of cross section (in meter) A = %pi *r*r //Area of cross section (in metersquare) R = p*l/A //Resistance (in ohm) //Result printf("\n Resistance of the wire is %0.3f ohm.",R)
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//To find coefficient of fluctuation clc //Given: N=100 //rpm k=1.75 //m //Solution: //Refer Fig. 16.9 //Calculating the angular speed of the crank omega=2*%pi*N/60 //rad/s //Calculating the coefficient of fluctuation of speed CS=1.5/100 //Coefficient of fluctuation of energy: AB=2000, LM=1500 //N-m //Calculating the work done per cycle WD=(1/2*%pi*AB)+(1/2*%pi*LM) //Work done per cycle, N-m //Calculating the mean resisting torque Tmean=WD/(2*%pi) //N-m //Calculating the value of CD CD=%pi/2000*(2000-875) //rad //Calculating the maximum fluctuation of energy deltaE=1/2*CD*(2000-875) //N-m //Calculating the coefficient of fluctuation of energy Ce=deltaE/WD*100 //% //Calculating the mass of the flywheel m=deltaE/(k^2*omega^2*CS) //kg //Crank angles for minimum and maximum speeds: //Calculating the value of CE CE=(2000-875)/2000*(4*%pi/9) //rad //Calculating the crank angle for minimum speed thetaC=((4*%pi/9)-CE)*180/%pi //degrees //Calculating the value of ED ED=(2000-875)/2000*(%pi-(4*%pi/9)) //rad //Calculating the crank angle for maximum speed thetaD=((4*%pi/9)+ED)*180/%pi //degrees //Results: printf("\n\n Coefficient of fluctuation of energy, CE = %d %c.\n\n",Ce,"%") printf(" Mass of the flywheel, m = %.1f kg.\n\n",m) printf(" Crank angle from IDC for the minimum speed, thetaC = %d degrees.\n\n",thetaC) printf(" Crank angle from IDC for the maximum speed, thetaD = %d degrees.\n\n",thetaD)
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//a N8 = '432'; //octal number N = oct2dec(N8); //decimal representation of N8 disp("a") disp(N,"decimal equivalent of 432 = ") //b N16 = 'C4F'; //hexadecimal number N = hex2dec(N16); //decimal representation of N16 disp("b") disp(N,"decimal equivalent of C4F = ")
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clear all; clc; disp("Scilab Code Ex 9.1 : ") //Given: tou = 25; //MPa sigma1 = 50; //MPa sigma2 = 80; //MPa phi = 30*(%pi/180); // Calculations: sigma_x1 = (sigma1*cos(phi)*cos(phi))- (tou*cos(phi)*sin(phi)) - (sigma2*sin(phi)*sin(phi))- (tou*sin(phi)*cos(phi)); tou1 = (sigma1*cos(phi)*sin(phi))+ (tou*cos(phi)*cos(phi)) + (sigma2*sin(phi)*cos(phi))- (tou*sin(phi)*sin(phi)); sigma_x2 = (tou*cos(phi)*sin(phi))- (sigma2*cos(phi)*cos(phi)) + (tou*sin(phi)*cos(phi))+ (sigma1*sin(phi)*sin(phi)); tou2 = (tou*cos(phi)*cos(phi))+ (sigma2*cos(phi)*sin(phi)) - (tou*sin(phi)*sin(phi))+ (sigma1*sin(phi)*cos(phi)); //Display: printf("\n\nThe normal stress component in the x diection is = %1.2f MPa',sigma_x1); printf("\n The shear stress component in the x diection is = %1.1f MPa',tou1); printf("\n The normal stress component in the y diection is = %1.1f MPa',sigma_x2); printf("\n The shear stress component in the y diection is = %1.1f MPa',tou2); //----------------------------------------------------------------------END--------------------------------------------------------------------------------
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//Section-14,Example-1,Page no.-PC.48 //To calculate the surface tension of ethyl alcohol and the no. of times a water drop is heavier than a drop of ethyl alcohol. clc; y_r=7.2*10^-2 //N/m n_r=30 n_e=30 d_e=0.865*10^3 //g/cm^3 d_r=0.996*10^3 //g/cm^3 y_e=(((y_r)*(n_r)*(d_e))/((n_r)*(d_r))) //N/m disp(y_e,'Surface tension of ethyl alcohol(N/m)') //m=m_r/m_e=y_r/y_e m=(y_r/y_e) disp(m,'No.of times a water drop is heavier than a drop of the ethyl alcohol') //y_e=3.75*10^-2,(m_r/m_e)=1.92, is wrong in the book.
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function[sol,niter,info]= myjacobi(A,b,nmaxit,tol) //vérification si aucun terme de la diagonal de A n'est nulle if ~and(diag(A)) then error('erreur:diagonale est nulle') end //décomposition de A: A=D-E-F D=diag(diag(A)) E=-triu(A)+D F=-tril(A)+D x=inv(A)*b sol=b niter=0 info=0 err=[] for k=1:nmaxit sol =(eye(n,n)-inv(D)*A)*sol+inv(D)*b err=[err,norm(x-sol)]; if max(abs(A*sol-b))< tol info = 1; niter= k; break end end xtitle('le graphe de convergence pour la méthode de jacobi') plot(1:niter,log(err),xtitle) endfunction n=3 A=[2 -1 0;-1 2 -1;0 -1 2] b=[1; 2; 3] [sol,niter,info]= myjacobi(A,b,100,0.01) x=inv(A)*b b=A*x; x=inv(A)*b M=eye(n,n)-(inv(diag(diag(A)))*A); R_spectral=max(abs(spec(M))); disp(R_spectral)
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// Exa 6.20 clc; clear; close; // Given data I_DSS= 6;// in mA I_DSS= I_DSS*10^-3;// in A V_P= -4.5;// in V // Part (i) // At V_GS= -2V V_GS= -2;// in V I_DS= I_DSS*(1-V_GS/V_P)^2;// in A disp(I_DS*10^3,"At V_GS= -2V, the value of I_DS in mA is : ") // At V_GS= -3.6V V_GS= -3.6;// in V I_DS= I_DSS*(1-V_GS/V_P)^2;// in A disp(I_DS*10^3,"At V_GS= -3.6V, the value of I_DS in mA is : ") // Part (ii) // At I_DS= 3mA I_DS= 3*10^-3;// in A V_GS= V_P*(1-sqrt(I_DS/I_DSS)); disp(V_GS,"At I_DS= 3mA, the value of V_GS in volts is :") // At I_DS= 5.5mA I_DS= 5.5*10^-3;// in A V_GS= V_P*(1-sqrt(I_DS/I_DSS)); disp(V_GS,"At I_DS= 5.5mA, the value of V_GS in volts is :") // Note: There is calculation error in the second part to find the value of V_GS in both the condition . So the answer in the book is wrong
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/* Demonstrates nesting of auton transactions. */ DROP table emp2; CREATE TABLE emp2 as select * from emp; CREATE OR REPLACE PROCEDURE test_auton IS PROCEDURE auton IS PRAGMA AUTONOMOUS_TRANSACTION; BEGIN DELETE FROM emp2; DBMS_OUTPUT.PUT_LINE ('emp2 ' || tabcount ('emp2')); log81.saveline (0, 'Deleted all from emp2'); ROLLBACK; END; BEGIN DBMS_OUTPUT.PUT_LINE ('emp2 ' || tabcount ('emp2')); DBMS_OUTPUT.PUT_LINE ('log81tab ' || tabcount ('log81tab')); auton; DBMS_OUTPUT.PUT_LINE ('emp2 ' || tabcount ('emp2')); DBMS_OUTPUT.PUT_LINE ('log81tab ' || tabcount ('log81tab')); END; / /*====================================================================== | Supplement to the fifth edition of Oracle PL/SQL Programming by Steven | Feuerstein with Bill Pribyl, Copyright (c) 1997-2009 O'Reilly Media, Inc. | To submit corrections or find more code samples visit | http://oreilly.com/catalog/9780596514464/ */
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${ // Enable extension methods by adding using Typewriter.Extensions.* using Typewriter.Extensions.Types; // Uncomment the constructor to change template settings. //Template(Settings settings) //{ // settings.IncludeProject("Project.Name"); // settings.OutputExtension = ".tsx"; //} // Custom extension methods can be used in the template by adding a $ prefix e.g. $LoudName string LoudName(Property property) { return property.Name.ToUpperInvariant(); } } module $rootnamespace$ { // $Classes/Enums/Interfaces(filter)[template][separator] // filter (optional): Matches the name or full name of the current item. * = match any, wrap in [] to match attributes or prefix with : to match interfaces or base classes. // template: The template to repeat for each matched item // separator (optional): A separator template that is placed between all templates e.g. $Properties[public $name: $Type][, ] // More info: http://avilv.github.io/TypewriterX/ $Classes(*Model)[ export class $Name { $Properties[ // $LoudName public $name: $Type = $Type[$Default];] }] }
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// Switch LED1/LED2 on/off every 0.5 sec LEDState1 = %F; for i=1:10 mdaqLEDWrite(1, LEDState1); mdaqLEDWrite(2, ~LEDState1); LEDState1 = ~LEDState1; sleep(500); end mdaqLEDWrite(1, %F); mdaqLEDWrite(2, %F);
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// Exa 6.10 format('v',6) clc; clear; close; // Given data Beta= 100; V_CC= 12;// in V V_BE= 0;// in V I_B= 0.3*10^-3;// in A R_C= 300;// in Ω // Applying KVL for input side, V_CC= I_B*R_B+V_BE or R_B= (V_CC-V_BE)/I_B;// in Ω R_B= R_B*10^-3;// in k ohm disp(R_B,"The value of base resistor in kΩ is : ") I_C= Beta*I_B;// in A // The collector to emitter voltage V_CE= V_CC-I_C*R_C;// in V disp(V_CE,"The collector to emitter voltage in V is : ") // The stability factor, S= 1+Beta; disp(S,"The stability factor is : ")
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clc clear xs = [0 0.2 0.4 0.5] ys = [0 2.008 4.064 5.125] row = size(xs,'c') function [P] = P(x) P = ys(1) * L(1,x) + ys(2) * L(2,x) + ys(3) * L(3,x) + ys(4) * L(4,x) endfunction function Polinomial(k) x = poly(0,'x') cima = 1 baixo = 1 for i = 1 : row if i <> k then cima = (x - xs(i)) * cima baixo = (xs(k) - xs(i)) * baixo end end printf("L%d Polinomial ",k) disp(baixo,cima) endfunction function [L] = L(k,x) cima = 1 baixo = 1 for i = 1 : row if i <> k then cima = (x - xs(i)) * cima baixo = (xs(k) - xs(i)) * baixo end end printf("L%d ",k) printf("L%d = %.4f / %.4f \n", k, cima, baixo) L = cima/baixo endfunction Polinomial(1) Polinomial(2) Polinomial(3) Polinomial(4)
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//Fiber Optics Communication Technology, by Djafer K. Mynbaev and Lovell L.scheiner //Windows 8 //Scilab version- 6.0.0 //Example 14.1.2 clc; clear ; //given lambda=1310;//operating wavelength in nm Transport_line=36;//Length of transport line in km Power_budget=10;//linked power budget in dB Loss_singlemode_fiber=0.6;//loss of SM fiber in dB/km Linkloss=Loss_singlemode_fiber*Transport_line;//total link loss in dB mprintf("Link loss = %.1f dB\n ",Linkloss); if (Power_budget < Linkloss) then mprintf("Hence, we need to use an in-line amplifier"); else mprintf("Hence, we need not use an in-line amplifier"); end
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disp('chapter 12 ex12.4') disp('given') disp("output =10V to 15V") Vomax=15 disp("max load current=4000mA") Il=.4 disp("Vsmin=Vomax+3 V") Vsmin=Vomax+3 disp('volts',Vsmin) disp("allowing Vrs=3V(p to p)") Vrs=3 disp("Vs=Vsmin+Vrs/2") Vs=Vsmin+Vrs/2 disp('volts',Vs) disp("ZENER CIRCUIT") disp("let Vz=Vo/2") Vz=Vomax/2 disp('volts',Vz) disp("Iz=20mA") Iz=.02 disp("R1=(Vo-Vz)/Iz") R1=(Vomax-Vz)/Iz disp('ohms',R1) disp("R1=330 ohm std value") R1=390 disp("POTENTIAL DIVIDER") disp("let I2&gt;&gt;Ibmax I2=50uA Vomin=10") I2=50*10^(-6) Vomin=10 disp("R2=(Vomin-Vz)/I2") Vz=7.5 R2=(Vomin-Vz)/I2 disp('ohms',R2) disp("R2=47kohm std value") R2=47000 disp("I2=(Vomin-Vz)/R2") I2=(Vomin-Vz)/R2 disp('amperes',I2) disp("R34=R3+R4=Vz/Iz") R34=Vz/I2 disp('ohms',R34) disp("when Vo is at its max,moving contact is at bottom of R4") disp("I2=Vomax/(R2+R34)") I2=Vomax/(R2+R34) disp('amperes',I2) disp("R3=Vz/Iz") R3=Vz/I2 disp('ohms',R3) disp("use 100 k ohm std value") R3=100000 disp("R4=(R3+R4)-R3") R4=R34-R3 disp('ohms',R4) disp("use 50 k ohm std value") disp("CAPACITOR") disp("select C1=100uF") C1=100*10^(-6) disp("Q1 specification") disp("Vcemax=Vsmax=Vs+Vrs/2") Vcemax=Vs+Vrs/2 disp('volts',Vcemax) Ie=Il disp("P=Vce*Il=(Vs-Vomin)*Il") P=(Vs-Vomin)*Il disp('watts',P) disp("A 2N3055 is a suitable device") disp("Q2 specification") disp("Vcemax=Vsmax=Vs+Vrs/2") Vcemax=Vs+Vrs/2 disp('volts',Vcemax) disp("Ie=Il/hFE1 ,hFE1=20 for Q1") hFE1=20 Ie=Il/hFE1 disp('amperes',Ie) disp("P=Vce*Il=(Vs-Vomin)*Il") P=(Vs-Vomin)*Il disp('watts',P) disp("A 2N3904 is a suitable device") disp("R5 Calculation") disp("let Ie2min=0.5mA,Vbe1=0.7") Ie2min=0.5*10^(-3) Vbe1=0.7 disp("R5=(Vomin+Vbe1)/Ie2min") R5=(Vomin+Vbe1)/Ie2min disp('ohms',R5) disp("R5=18kohm std value") disp("OPERATIONAL AMPLIFIER") disp("because I2 is sselected for bipolar opamp either a bipolar or BIFEt opamp can be used") disp("supply voltage Vs=19.5V") Vs=19.5 disp("Input supply voltage range=Vs/2-Vz") ipvoltage=(Vs/2)-Vz disp('volts',ipvoltage)
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function [x,y,typ] = mdaq_led(job,arg1,arg2) led_desc = ["This block sets MicroDAQ LED state."; ""; "LED number: 1 or 2"; ""; "Set block parameters:"]; x=[];y=[];typ=[]; select job case 'set' then x=arg1 model=arg1.model; graphics=arg1.graphics; exprs=graphics.exprs; while %t do try getversion('scilab'); [ok,led_num,exprs]=.. scicos_getvalue(led_desc,.. ['Led:'],.. list('vec',-1),exprs) catch [ok,led_num,exprs]=.. scicos_getvalue('Enter LED block parameters',.. ['Led:'],.. list('vec',-1),exprs) end; err_message = []; if ~ok then break end if led_num > 2 | led_num < 1 then err_message=[err_message ;gettext("Wrong LED selected - use 1 or 2!")]; ok=%f; end if exists('inport') then in=ones(1,1), out=[], else in=1, out=[], end [model,graphics,ok]=check_io(model,graphics,in,out,1,[]) if ok then graphics.exprs=exprs; model.rpar=[] model.ipar=[led_num]; model.dstate=[]; x.graphics=graphics; x.model=model x.graphics.style=["mdaq_led;blockWithLabel;verticalLabelPosition=center;displayedLabel=D%s;fontColor=#616161"] break else message(err_message); end end case 'define' then led_num=1 model=scicos_model() model.sim=list('mdaq_led_sim',5) if exists('inport') then model.in=ones(1,1), model.out=[], else model.in=1, model.out=[], end model.evtin=1 model.ipar=[led_num]; model.dstate=[]; model.blocktype='d' model.dep_ut=[%t %f] exprs=[sci2exp(led_num)] gr_i=['xstringb(orig(1),orig(2),[''D'';led_num],sz(1),sz(2),''fill'');'] x=standard_define([4 3],model,exprs,gr_i) x.graphics.in_implicit=[]; x.graphics.style=["blockWithLabel;verticalLabelPosition=center;displayedLabel=D%s;fontColor=#616161"] x.graphics.exprs=[string(led_num)]; end endfunction
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<<<<<<< HEAD function y = sigmoid_train(t, ranges, rc) // Evaluate a train of sigmoid functions at T. //Calling Sequence //y = sigmoid_train(t, ranges, rc) //Parameters //t: integer //ranges: matrix //rc:timeconstant //Description //The number and duration of each sigmoid is determined from RANGES. Each row of RANGES represents a real interval, e.g. if sigmoid 'i' starts at 't=0.1' and ends at 't=0.5', then 'RANGES(i,:) = [0.1 0.5]'. The input RC is an array that defines the rising and falling time constants of each sigmoid. Its size must equal the size of RANGES. //Examples //sigmoid_train(0.1,[1:3],4) //Output : // ans = // // 0.2737470 funcprot(0); //************************************************************************************************** //______________________________________________version1 code (not working)_________________________ //__________________________________________________________________________________________________ //************************************************************************************************** //rhs=argn(2); //if (rhs<3 | rhs>3) then // error("Wrong number of input arguments"); //end // //select(rhs) //case 3 then // y=callOctave("sigmoid_train", t, ranges, rc) //end //************************************************************************************************** //______________________________________________version2 code ( working)____________________________ //__________________________________________________________________________________________________ //************************************************************************************************** nRanges = size (ranges, 1); if isscalar (rc) rc = rc * ones (nRanges,2); elseif or( size(rc) ~= [1 1]) if length(rc) ~= nRanges error('signalError','Length of time constant must equal number of ranges.') end if isrow (rc) rc = rc'; end rc = repmat (rc,1,2); end flag_transposed = %F; if iscolumn (t) t = t.'; flag_transposed = %T; end [ncol nrow] = size (t); T = repmat (t, nRanges, 1); RC1 = repmat (rc(:,1), 1, nrow); RC2 = repmat (rc(:,2), 1, nrow); a_up = (repmat (ranges(:,1), 1 ,nrow) - T)./RC1; a_dw = (repmat (ranges(:,2), 1 ,nrow) - T)./RC2; Y = 1 ./ ( 1 + exp (a_up) ) .* (1 - 1 ./ ( 1 + exp (a_dw) ) ) y = max(Y,'r'); if flag_transposed y = y.'; end ======= function y =sigmoid_train(t, ranges, rc) // Evaluate a train of sigmoid functions at T. //Calling Sequence //y = sigmoid_train(t, ranges, rc) //Parameters //t: integer //ranges: matrix //Description //The number and duration of each sigmoid is determined from RANGES. Each row of RANGES represents a real interval, e.g. if sigmoid 'i' starts at 't=0.1' and ends at 't=0.5', then 'RANGES(i,:) = [0.1 0.5]'. The input RC is an array that defines the rising and falling time constants of each sigmoid. Its size must equal the size of RANGES. //Examples //sigmoid_train(0.1,[1:3],4) //ans = // 0.27375 funcprot(0); rhs=argn(2); if (rhs<3 | rhs>3) then error("Wrong number of input arguments"); end select(rhs) case 3 then y=callOctave("sigmoid_train", t, ranges, rc) end >>>>>>> 6bbb00d0f0128381ee95194cf7d008fb6504de7d endfunction
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// Exa 5.25 format('v',7);clc; clear; close; // Given data Vs= 100;// in mV Vf= 95;// in mV Vs= Vs*10^-3;// in V Vf= Vf*10^-3;// in V Vo=10;// in V Vi= Vs-Vf;// in V Av= Vo/Vi;// in V/V disp(Av,"Value of A in V/V is : ") Bita= Vf/Vo;// in V/V disp(Bita,"Value of Bita in V/V is : ") // Note: In the book Calculation to find the value of Bita is wrong so the asnwer in the book is wrong
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//Example 15.15 //Third Order Runge Kutta Method //Page no. 526 clc;clear;close; deff('y=f(x,y)','y=x-y') y=1;x=1;h=0.1; //scheme 1 K1=h*f(x,y); K2=h*f(x+h/2,y+K1/2); K3=h*f(x+h/2,y-K1+2*K2); y1=y+(K1+4*K2+K3)/6 printf('\ny(1.1) by scheme 1 = %g\n\n',y1) //scheme 2 K1=h*f(x,y); K2=h*f(x+h/3,y+K1/3); K3=h*f(x+2*h/3,y+2*K2/3); y1=y+(K1+3*K3)/4 printf('\ny(1.1) by scheme 2 = %.7f\n\n',y1)
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//リカッチ方程式(離散時間系) A=[0 1;1 0]; b=[0;1]; r=1; Q=diag([1 1]); B=b; R=r; G=B*inv(R)*B'; P=ricc(A,G,Q,'disc'), spec(P) k=-inv(r+b'*P*b)*b'*P*A, spec(A+b*k)
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clear; clf; clc; f = 100; T = 1/f; fs = 5000; t = 0:1/fs:10*T; y1 = sin(2 * %pi * f * t); y2 = sin(10 * %pi * f * t); y = y1+y2; c1 = ffilt("bp", 100, 0.1,0.3); c= filter(c1,1,y); subplot(211); plot(c); title("Different frequency sinewaves filtering", "fontsize", 3); [hm fr] = frmag(c,1,100); subplot(212); plot(fr,hm);
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clc T=300 //K Nd=10**16//atoms/cm^3 Nc=2.86*10**19//cm^-3 ni=9.65*10**9//cm^-3 k=8.617*10^-5 //eV/K e=1.6*10**-19 //C n=Nd disp(n,"in cm^-3 is") p=ni^2/Nd disp(p,"in cm^-3 is") //Ec-Ef=z z=k*T*log(Nc/Nd) disp(z,"fermi level measured from bottom of conduction band in eV is") //Ef-Ei=y y=k*T*log(Nd/ni) disp(y,"Fermi level measured from the intrinsic fermi level in eV is")
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//Ex 1.40.11 clc;clear;close; format('v',9); //Given : ni=1.5*10^10;//per cm^3 n_n=2.25*10^15;//per cm^3 disp(n_n,"Equillibrium electron density(per cm^3) : "); p_n=ni^2/n_n;//per cm^3 disp(p_n,"Equillibrium hole density(per cm^3) : ");
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#Cooler Example - Distillation Tower Condenser Duty $thermo = VirtualMaterials.NRTL/Ideal/HC / -> $thermo thermo + ETHANOL WATER topVap = Stream.Stream_Material() topVap.In.P = 101.325 topVap.In.VapFrac = 1 topVap.In.MoleFlow = 100 topVap.In.Fraction = 0.85 0.15 cond = Heater.Cooler() topVap.Out -> cond.In cond.DeltaP = 0 cond.Out.VapFrac = 0 cond.OutQ
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clc // Given that alpha = 0 // Rake angle in degree gama = 3 // Clearance angle in Degree w = 1 // Maximum length of flank wear allowed in mm gama_ = 7 // Increased clearance angle in Degree // Sample Problem 8 on page no. 212 printf("\n # PROBLEM 4.8 # \n") I_per = (((tand(gama_))-(tand(gama)))/tand(gama))*100 printf(" \n Percentage increase in tool life = %d percent.",I_per)
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//Example 5_12 clc(); clear; //How far the average velocity and how far beyond B does the car goes m=2000 //units in Kg vb=5 //units in meters/sec va=20 //units in meters/sec hb_ha=8 //units in meters g=9.8 //units in meters/sec^2 sab=100 //units in meters f=-((0.5*m*(vb^2-va^2))+(m*g*(hb_ha)))/sab //units in Newtons printf("Average frictional force is f=%d N\n",f) Sbe=(0.5*m*vb^2)/f //units in meters printf("The distance by which the car goes beyond is Sbe=%.1f meters",Sbe) //In text book answer is printed wrong as f=2180 N but correct answer is f=2182N
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1. Single is for Single spacing 2. Center allows a block to be centered - Itemize uses ticks to indicate items - Center allows a block to be centered Single is for Single spacing Itemize uses ticks to indicate items One Column 1. Single is for Single spacing 2. Single is for Single spacing. A nested itemize 3. Verbatim allows text that matches the what you see is what you get mode 1. Itemize uses ticks to indicate items 2. Center allows a block to be centered 1. Verbatim allows text that matches the what you see is what you get mode 2. Itemize uses ticks to indicate items 3. Single is for Single spacing. A second level of enums!!!! 4. Center allows a block to be centered 1. Center allows a block to be centered - Single is for Single spacing - Single is for Single spacing. A nested itemize - Verbatim allows text that matches the what you see is what you get mode - Itemize uses ticks to indicate items - Center allows a block to be centered - Verbatim allows text that matches the what you see is what you get mode - Itemize uses ticks to indicate items - Single is for Single spacing. A second level of itemize!!!! - Center allows a block to be centered - Center allows a block to be centered 1. Single is for Single spacing - Single is for Single spacing. A nested itemize - Verbatim allows text that matches the what you see is what you get mode Single is for Single spacing Verbatim allows text that matches the Itemize uses ticks to indicate items Center allows a block to be centered Does Does A A One One Column Column Table Table Work??????? Work???????
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function[img_ret]=cv_thresh_truncate(image) pyImport simple_thresholding img_ret=simple_thresholding.thresh_trunc(image) endfunction
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x=0:10000:100000 g0= 9.8 R = 6.37*10^6 v0 = 1400 diffX = 10000 //No es posible realizar 1/(1+x) siendo x un vector v = sqrt(2*g0*R^2*(R+x)^-1+v0^2-2*g0*R) plot(x,v,'marker','.','color','red') v(1) = 1400 for i = 1:1:length(x)-1 v(i+1)= -g0*R^2/(v(i)*(R+x(i))^2)*diffX + v(i) end plot(x,v,'marker','>','color','blue') ylabel("$\frac{m}{s}$",'fontsize',4) xlabel("m",'fontsize',4) title("Velocidad vs distancia") legend(['Método análitico';'Método de Euler'],[-1]);
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//Example 8_5 clc;clear;funcprot(0); //From Example 8_4 // Given values P=1;// atm T=35;// degree celsius L=300;// m D=0.267;// m h_L=20;// m v_old=0.35;// m^3/s g=9.81;// m/s^2 //Properties rho=1.145;// kg/m^3 mu=1.895*10^-5;// kg/m.s nu=1.655*10^-5;// m^2/s //Calculation //V=y(1); Re=y(2); f=y(3);v=y(4) function[X]=flowrate(y); X(1)=real((y(4)/(%pi*D^2/4))-y(1)); X(2)=real(((y(1)*D)/(nu))-y(2)); X(3)=real((-2.0*log10(2.51/(y(2)*sqrt(y(3)))))-(1/sqrt(y(3)))); X(4)=real(((y(3)*L*y(1)^2)/(D*2*9.81))-20); endfunction y=[1 10000 0.01 0.1]; z= fsolve(y,flowrate); v_new=z(4);// m^3/s v_drop=v_old-v_new;//The drop in the flow rate printf('The drop in the flow rate through the duct.v_drop=%0.2f m^3/s\n',v_drop);
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// Example 11_2 clc;funcprot(0); // Given data p=200;// psia T=400;// °F // Solution // From Table C.3a in Thermodynamic Tables to accompany Modern Engineering Thermodynamics, we find that, at this state, u=1123.5;// Btu/lbm h=1210.8;// Btu/lbm s=1.5602;// Btu/lbm.R f=u-((T+459.67)*s);// Btu/lbm g=h-((T+459.67)*s);// Btu/lbm printf("\nThe value of the specific Helmholtz function for superheated water vapor,f=%3.0f Btu/lbm \nThe value of the specific Gibbs function for superheated water vapor,g=%3.0f Btu/lbm",f,g);
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//Ex 3.6 clc;clear;close; format('v',5); L=318;//mH R=75;//ohm VR=150;//V f=50;///Hz I=VR/R;//A XL=2*%pi*f*L/1000;//ohm VL=I*XL;//V V=sqrt(VR^2+VL^2);//V disp(V,"Supply Voltage(V)");
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//chapter 13 //example 13.1 //page 396 clear all; clc ; //given Rc=10;//collector resistors Re=3.9;//emitter resistor Vcc=12;Vee=-12;//dual supply Vbe=0.7; Vb4=-3.5;//Q4 base voltage with respect to ground VB4=Vb4-(Vee);//voltage at base of transistor 4 Ie=(VB4-Vbe)/Re;//emitter current printf("\nemitter current through Q4= %d mA",Ie); Ie2=Ie/2; Ie1=Ie2; Ic1=Ie1; Ic2=Ie2; printf("\nemitter currents through Q1&Q2= %d mA",Ie1); printf("\ncollector currents through Q1&Q2= %d mA",Ic1); Vc2=Vcc-Ic1*Rc; Vc1=Vc2; printf("\nvoltage across collectors of transistors Q1&Q2 = %d V",Vc1)
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function[result] = f(x,y) //inserir a formula aqui yo result= x - 2*y + 1 endfunction //a = limite inferior //b = limite superior //m = numero de subintervalos //y = valor inicial function[VetX, VetY, EG] = dormand(a,b,m,y0) a21 = 1/5; a31 = 3/40; a32 = 9/40; a41 = 44/45; a42 = -56/15; a43 = 32/9; a51 = 19372/6561; a52 = -25369/2187; a53 = 94448/6561; a54 = -212/729; a61 = 9017/3168; a62 = -355/33; a63 = 46732/5247; a64 = 49/176; a65 = -5103/18656; a71 = 35/384; a73 = 500/1113; a74 = 125/192; a75 = -2187/6784; a76 = 11/84; c2 = 1/5; c3 = 3/10; c4 = 4/5; c5 = 8/9; c6 = 1; c7 = 1; e1 = 71/57600; e3 = -71/16695; e4 = 71/1920; e5 = -17253/339200; e6 = 22/525; e7= -1/40; h = (b-a)/m; xt = a; yt = y0; VetX(1) = xt; VetY(1) = yt; EG(1)= 0; printf('i\txt\t\txy\n'); printf('%d\t',0); printf('%f\t',xt); printf('%f\n',yt); for i=1:m x = xt; y = yt; k1 = h * f(x, y); x = xt + c2 * h; y = yt + a21 * k1; k2 = h * f(x, y); x = xt + c3 * h; y = yt + a31 * k1 + a32 * k2; k3 = h * f(x, y); x = xt + c4 * h; y = yt + a41 * k1 + a42 * k2 + a43 * k3; k4 = h * f(x, y); x = xt + c5 * h; y = yt + a51 * k1 + a52 * k2 + a53 * k3 + a54 * k4; k5 = h * f(x, y); x = xt + c6 * h; y = yt + a61 * k1 + a62 * k2 + a63 * k3 + a64 * k4 + a65 * k5; k6 = h * f(x, y); x = xt + c7 * h; y = yt + a71 * k1 + a73 * k3 + a74 * k4 + a75 * k5 + a76 * k6; k7 = h * f(x, y); xt = a + i * h; yt = yt + a71 * k1 + a73 * k3 + a74 * k4 + a75 * k5 + a76 * k6; ErroGlobal = e1 * k1 + e3 * k3 + e4 * k4 + e5 * k5 + e6 * k6 + e7 * k7 VetX(i + 1) = xt; VetY (i + 1) = yt; EG(i + 1) = ErroGlobal; printf("%d\t%f\t%f\t%f\n",i, xt, yt, ErroGlobal); end endfunction
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clc; l=input("Enter the no. of vertices in the matrix. The adjacency matrix shall be read from the text file:"); h=fscanfMat("testfile1.txt"); a=h'; fid = mopen('Result.txt','w'); // Output file mfprintf(fid,'Original matrix\n\n'); // Printing the original matrix in the output file for i=1:l for k=1:l mfprintf(fid,'%6d',a(i,k)); end mfprintf(fid,' \n'); end k=1:l ; listV(k)=0 ; listV(1)=1 ; //list of visited vertices e=1; while (e<l) mini=%inf; for i=1:l if listV(i)==1 for j=1:l if listV(j)==0 if mini>a(i,j) & i~=j & a(i,j)~=0 mini=a(i,j); b=a(i,j); s=i; d=j; end end end end end listV(d)=1; distance(e)=b; source(e)=s; destination(e)=d; e=e+1; end mfprintf(fid,'\nThe nodes and shortest distances are \n'); mfprintf(fid,'\nFORMAT: Distance(Source, destination) \n'); for g=1:e-1 mfprintf(fid,'%d(%d,%d)\n',distance(g),source(g),destination(g)); end status = mclose(fid); clear;
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//Example 5_10 page no:200 clc funcprot(0); function [r,th]=rect2pol(x,y) //rectangle to polar coordinate conversion r=sqrt(x^2+y^2); th=atan(y,x)*180/3.14; endfunction V=20//input voltage f=50//frequency in Hz R1=10//resistance in ohm R2=20//resistance in ohm L=0.1//inductance in henry Xl=2*%pi*f*L*%i Zt=R1+((R2*Xl)/(R2+Xl)) disp(Zt,"impedance is (in ohm)") [mag,theta]=rect2pol(real(Zt),imag(Zt)) disp("In polar form") disp(mag,"magnitude is (in ohm)") disp(theta,"angle is (in degree)") It=V/Zt disp(It,"the current is (in A)") [mag,theta]=rect2pol(real(It),imag(It)) disp("In polar form") disp(mag,"magnitude is (in A)") disp(theta,"angle is (in degree)") disp(-theta,"the phase angle between current and voltage is(in degree)")
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//ステップ応答シミュレーション A=[-1 0;1 -2]; b=[0;1]; c=[1 1]; x0=[1;0]; sys=syslin('c',A,b,c); t=0:0.01:10; y=csim('step',t,sys,x0); clf(); plot2d(t,y,rect=[0,0,10,1.5]) xtitle("Step responce","time [s]","output y")
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clear;lines(0); hn=eqfir(33,[0 .2;.25 .35;.4 .5],[0 1 0],[1 1 1]); [hm,fr]=frmag(hn,256); plot(fr,hm),
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//Example 2_19 clc(); clear; //To calculate the wavelength of the spectral line n=2 N=4250 //units in centimeters theta=30 //units in degrees lemda=(((1/N)*sin(theta*%pi/180))/n)*10^8 printf("The wavelength of the spectral line is %.0f angstrom",lemda)
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//Example 4.13:resistance and reactance clc; clear; close; r1=2;//ohm r2=9;// imp=r1+%i*r2;//ohm mg=sqrt(r1^2+r2^2);// th=atand(r2/r1);// vm=85;//V va=40;//degree vm1=90;//V va1=45;//degree ccm=vm/mg;//A cca=va-th;//degree impm=vm1/ccm;//ohm impa=va1-cca;//degree reac=impm*sind(impa);//ohm rc=sqrt(impm^2-reac^2);//ohm f=50;//Hz ind=reac/(2*%pi*f);// disp(rc,"reactance is,(ohm)=") disp(fix(ind*10^3),"inductance of the coil is,(mH)=")
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function [g1]=graph_power(g,k) [lhs,rhs]=argn(0) if rhs<>2 then error(39), end // check g check_graph(g) if g('directed')<>1 then error('The graph must be directed') end // check k if k<1 then error('Power must be greater than 0') end if k==1 then g1=g; return; end //graph power ta=g('tail');he=g('head'); n=g('node_number'); X=sparse([ta' he'],ones(ta)',[n n]);Y=X;Z=X; for i=2:k, Y=Y*X; [ij,v,mn]=spget(Y); if (v <> []) then Z=Z+Y;i=k; end; end; [ij,v,mn]=spget(Z); ta=[ij(:,1)'];he=[ij(:,2)']; g1=make_graph('foo',1,n,ta,he); g1('node_x')=g('node_x');g1('node_y')=g('node_y');
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clc clear //INPUT tc=5.26;//critical temperature of the helium in K //CALCULATIONS ti=27*tc/4;//inversion temperature of the helium in K //OUTPUT mprintf('the inversion temperature of the helium is %3.2f K',ti)
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// A Texbook on POWER SYSTEM ENGINEERING // A.Chakrabarti, M.L.Soni, P.V.Gupta, U.S.Bhatnagar // DHANPAT RAI & Co. // SECOND EDITION // PART II : TRANSMISSION AND DISTRIBUTION // CHAPTER 4: OVERHEAD LINE INSULATORS // EXAMPLE : 4.4 : // Page number 184-185 clear ; clc ; close ; // Clear the work space and console // Given data V_3 = 17.5 // Voltage across line unit(kV) c = 1.0/8 // Shunt capacitance = 1/8 of insulator capacitance n = 3.0 // Number of insulators // Calculations K = c // String constant V_1 = V_3/(1+3*K+K**2) // Voltage across top unit(kV) V_2 = (1+K)*V_1 // Voltage across middle unit(kV) V = V_1+V_2+V_3 // Voltage between line & earth(kV) eff = V*100/(n*V_3) // String efficiency(%) // Results disp("PART II - EXAMPLE : 4.4 : SOLUTION :-") printf("\nLine to neutral voltage, V = %.2f kV", V) printf("\nString efficiency = %.2f percent", eff)
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//Optoelectronics and Fiber Optics Communication by C.R. Sarkar and D.C. Sarkar //Example 3.4 //OS = Windows 7 //Scilab version 5.5.2 clc; clear; //given a=4*10^-6;//radius in m n1=1.5;//core refractive index lamda=1.55*10^-6;//operating wavelength in m delta=0.003;//relative refractive index difference between core and cladding c=(2*delta)^0.5;//constant value lamdac=(c*2*%pi*a*n1)/2.405;//cut off wavelength for mono mode Rcs=(20*lamda)/((delta)^1.5)*((2.748-((0.996)*(lamda/lamdac)))^-3);//critical radius of curvature mprintf("\n Critical radius of curvature is= %.2fmm",Rcs*1e3);//multiplication by 1e3 to convert unit to mm//the answer given in textbook is wrong
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// SAMPLE PROBLEM 6/5 clc;funcprot(0); // Given data r=6/12;// ft mu_s=0.15;// The coefficients of static friction mu_k=0.12;// The coefficients of kinetic friction theta=20;// degree g=32.2;// The acceleration due to gravity in ft/sec^2 x=10;// ft // Calculation // SigmaF_x=m*abar_x----> mg*sind(theta)-F=m*abar // SigmaF_x=m*abar_y----> N-mg*cosd(theta)=0 // SigmaM_G=Ibar*alpha---> F*r=m*r^2*alpha abar=(g/2)*sind(theta);// ft/sec^2 // SigmaM_G=Ibar*alpha+m*abar*d----->mgr*sin(theta)=mr^2*(abar/r)+ m*abar*r // From the above equations,we solve using the coefficients of mg F=sind(theta)-(sind(theta))/2;// N N=cosd(theta);// N F_max=mu_s*N;// N F=mu_k*N;// N // SigmaF_x=m*abar_x abar=(sind(theta)-F)*g;// ft/sec^2 alpha=(F*g)/r;// rad/sec^2 t=sqrt((2*x)/abar);// sec printf("\nThe angular acceleration of the hoop,alpha=%1.2f ft/sec^2 \nThe time t for the hoop to move a distance of 10 ft down the incline,t=%1.3f sec",alpha,t);
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clc(); clear; //To determine the wavelength of light incident on a quartz plate delta=50; //phase difference mewE=1.544; //refractive index of extraordinary waves mew0=1.553; //refractive index of ordinary waves t=8; //thickness in nm lambda=((2*180)/delta)*(mew0-mewE)*t*10^-6*10^9 //mew0>mewE printf("The wavelength of light incident is %f nm",lambda);
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//EXAMPLE 2.3, Basic ops on unequal length sequence clear; clc; c=[3.2 41 36 -9.5 0]; disp(c,'c = '); g=[-21 1.5 3]; disp(g,'g = '); a=length(g); b=length(c); i=0; while(i<b-a) g(b-i)=0; i=i+1; end w4=g.*c; disp(w4,'The product of two sequences is ='); w5=c+g; disp(w5,'The addition of two sequences is =');
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clear; getd(); // Get data from file disp("Loading ballistic data file..."); DATA=fscanfMat('BallisticsDataFile.txt'); d=DATA(:,2); t=DATA(:,1); // Create G from the time data disp("Creating matrix G..."); n=size(t)(1); G=ones(n,1); G=[G t -0.5*t^2]; // Compute model disp("Computing model..."); m=inv(G'*G)*G'*d; // Compute Model covariance matrix disp("Computing Model covariance matrix..."); Cm = inv(G'*G); // Chi Squared for different nu's at p = 95% ChiSqNu1 = 3.96; ChiSqNu2 = 5.99; ChiSqNu3 = 7.81; disp("Computing Confidence Interval for Chi Squared for 1 degre of liberty, at p=95%") deltaM_Nu1 = sqrt(ChiSqNu1 * diag(Cm)); disp(deltaM_Nu1, "deltaM_Nu1 =","Question c: delta M for nu = 1;"); disp("Computing Confidence Interval for Chi Squared for 2 degre of liberty, at p=95%") deltaM_Nu2 = sqrt(ChiSqNu2 * diag(Cm)); disp(deltaM_Nu2, "deltaM_Nu2 =","Question c: delta M for nu = 2;");
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一、XML:可扩展的标记语言 二、XML的作用 1、可以用来保存数据 2、可以用来做配置文件 3、数据传输载体 三、XML文档声明 1、简单声明,version:解析这个xml的时候,使用什么版本的解析器解析 <?xml version="1.0"?> 2、encoding:解析xml中的文字的时候,使用什么编码来翻译 <?xml version="1.0" encoding="UTF-8"?> 3、standlone:no-该文档会依赖于其他文档,yes-表示是一个独立文档 <?xml version="1.0" encoding="UTF-8" standlone="no"?>
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//Encryption process in Playfair cipher // Move scilab to current file directory [u,t,n] = file() n = strcat(n) file_name = basename(n)+fileext(n) file_name = strcat(file_name) ind=strindex(n,file_name) path = part(n,1:ind-1) chdir(path) exec("Chapter_2.sci",-1) //Playfair cipher key key = "PLAYFAIR EXAMPLE" disp("Original plaintext:") pt = "MY NAME IS ATUL." disp(pt) //Using functions from dependency file to reformat the input pt = playfair_pt(pt) // substituting J to I and handling duplicates pt_digram = digram_array(pt) // converting to digrams disp("Plaintext message broken down into pair of elements:") print_matrix(pt_digram,0) disp("") a = ascii('A') key_matrix = playfair_matrix(key); // mat contains ascii values of characters of playfair matrix //Use "disp(mat)" to verify this disp("Playfair Cipher Key matrix: ") print_matrix(key_matrix,1) //disp(pt_matrix) ct_mat = encrypt_playfair(pt_digram,key_matrix) disp("Playfair ciphertext:") print_matrix(ct_mat,0)
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unix_g('sudo chmod 777 /dev/prologix'); h=openserial("/dev/prologix", "9600,n,8,1"); //please make sure all the tty values are correct before starting the program. writeserial(h,"++addr 15"+ascii(10)); unix_w("sleep 1"); writeserial(h,"++auto 1"+ascii(10)); unix_w("sleep 1"); writeserial(h,"SYST:ZCH 0"+ascii(10)); pFET_dCTRL=[(0:0.1:2.3)'; (2.305:0.005:2.45)'; (2.46:0.01:2.5)';]; //pFET_dCTRL=[0.0;1;2.4;2.41;2.42;2.43;2.44;2.45;2.5]; size_pFET_dCTRL=size(pFET_dCTRL); for i_pFET_d=1:size_pFET_dCTRL(1,1) unix_g('sudo dwfcmd connect target=analogout channel=0 enable=1 function=dc offset="+string(pFET_dCTRL(i_pFET_d,1))+"V run=0 start finish'); writeserial(h,"READ?"+ascii(10)); xpause(3000000); temp_a=readserial(h); temp_b=part(temp_a,1:14); current(1,1)=msscanf(temp_b,"%lg"); while current ==[] unix_g('sudo chmod 777 /dev/prologix'); h=openserial("/dev/prologix", "9600,n,8,1"); writeserial(h,"++addr 15"+ascii(10)); unix_w("sleep 1"); writeserial(h,"++auto 1"+ascii(10)); unix_w("sleep 1"); writeserial(h,"SYST:ZCH 0"+ascii(10)); writeserial(h,"READ?"+ascii(10)); xpause(3000000); temp_a=readserial(h); temp_b=part(temp_a,1:14); current(1,1)=msscanf(temp_b,"%lg"); end unix_g('sudo dwfcmd connect target=analogout channel=0 enable=1 function=dc offset="+string(pFET_dCTRL(i_pFET_d,1))+"V run=0 start watch=2s analogin record channel=1 enable=1 range=2V offset=0 frequency=1k run=0.01s start save=null_data.csv'); pFET_dCTRL(i_pFET_d,2)=abs(current); disp('S: 0V V D:'+string(pFET_dCTRL(i_pFET_d,1))+'V Current:'+string(current)); end csvWrite(pFET_dCTRL,'data_pFET_IdVd.csv'); disp("done"); pFET_IdVd=csvRead('data_pFET_IdVd.csv'); scf(6);clf(6); plot2d("nl", pFET_IdVd(:,1), pFET_IdVd(:,2));p = get("hdl"); p.children.mark_style = 9; p.children.thickness = 3; p.children.line_mode="off";p.children.mark_foreground=1; a=gca();a.data_bounds=[0 1e-11; 2.5 1e-4]; xtitle("","Vd(V)","Id(A)");
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//Chapter 6, Problem 18 clc; Q=10*10^-3; //Charge W=1.2; //Energy stored V=(2*W)/Q; //Calculating voltage C=Q/V; //Calculating capacitance disp("(a)"); printf("Voltage = %f V\n\n",V); disp("(b)"); printf("Capacitance = %f uF",C*10^6);
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//Variable declaration: Ts = 100.0 //Steam temperature at 1 atm (°C) Tl = 25.0 //Fluid temperature (°C) //Calculation: DTlm = Ts - Tl //Log mean temperature difference (°C) //Result: printf("The LMTD is : %f °C.",DTlm)
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//eigenvalues and eigenvectors //example 7.15 //page 285 clc;clear;close A=[5 0 1;0 -2 0;1 0 5]; x=poly(0,'x'); for i=1:3 A(i,i)=A(i,i)-x; end d=determ(A); X=roots(d); printf(' the eigen values are \n\n') disp(X); X1=[0;1;0] X2=[1/sqrt(2);0;-1/sqrt(2)]; X3=[1/sqrt(2);0;1/sqrt(2)]; //after computation the eigen vectors printf('the eigen vectors for value %0.2g is',X(3)); disp(X1); printf('the eigen vectors for value %0.2g is',X(2)); disp(X2); printf('the eigen vectors for value %0.2g is',X(1)); disp(X3);
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clc printf(" Example 15.2\n") E_gf=69 // Elasticity of glass fibre in GPa mf_gf=0.4 //Volume percentage of glass fibre E_pr=3.4 // Elasticity of polyester resin in GPa mf_pr=0.6 //Vol percentage of polyester resin E_ct=E_pr*E_gf/((E_pr*mf_gf)+(E_gf*mf_pr)) // Calculation of modulus of elasticity in GPa printf("\n In transverse direction, modulus of elasticity is %.1f GPa.\n",ceil(E_ct*10)/10)
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// Scilab Code Ex1.17: Page:35 (2011) clc;clear; c = 3e+008; // Speed of light in vacuum, unit m0 = 9.1e-031; // Rest mass of the electron, kg E_k = 0.1*1e+006*1.6e-019; // Kinetic energy of the electron, J v = sqrt(2*E_k/m0); // Classical speed of the electron, m/s printf("\nThe classical speed of the electron = %5.3e m/s", v); // As E_k = (m-m0)*c^2 = (1/sqrt(1-v^2/c^2)-1)*m0*c^2, solving for v v = c*sqrt(1-(m0*c^2/(E_k+m0*c^2))^2); // Relativistic speed of the electron, m/s printf("\nThe relativistic speed of the electron = %5.3e m/s", v); // Result // The classical speed of the electron = 1.875e+008 m/s // The relativistic speed of the electron = 1.644e+008 m/s