Login Page In ASP.Net By Using C# code

Login Page In ASP.Net By Using C# code using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.UI; using System.Web.UI.WebControls; using System.Data; using System.Data.SqlClient; using System.Configuration; public partial class _Default : System.Web.UI.Page {     protected void Page_Load(object sender, EventArgs e)     {     }     protected void Login1_Authenticate(object...

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Register Page In ASP.Net By Using C# code

Register Page In ASP.Net By Using C# code ------------------------------------C# Code---------------------------- using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.UI; using System.Web.UI.WebControls; using System.Data; using System.Data.SqlClient; public partial class _Default : System.Web.UI.Page {     protected void Page_Load(object sender, EventArgs e)     {  ...

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MOBILE BANKING

ABSTRACT MOBILE BANKING A large multi-location bank wanted to extend mobile banking to its customer. It already had a robust Internet banking system in place. It was decided to roll out a mobile banking system (named mBank) in a phased manner. The first version will include basic features like displaying a) account balance, b) last few transactions, c) sending push notifications for the transactions above a predetermined value (to be decided by the customer), and d) ATM locator. The integration with the banking system will be done using REST...

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Connection Strings in web.config configuration file (Part - 3)

Connection Strings in web.config configuration file  (Part - 3) If we have 100 web forms In 1 application Instead of creating every time connection will be stored in web.config file In an asp.net web application, the configuration strings can be stored in web.config file, as shown below. Give a meaningful name to your connection string. Since we are working with sql server, the provider name is System.Data.SqlClient. If...

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1. Linear Convolution

1. Linear Convolution AIM: To verify Linear Convolution. EQUIPMENTS: Operating System – Windows XP Constructor - Simulator Software - CCStudio 3 & MATLAB 7.5 PROGRAM: % MATLAB program for linear convolution %linear convolution program clc; clear all; close all; disp('linear convolution program'); x=input('enter i/p x(n):'); m=length(x); h=input('enter i/p h(n):'); n=length(h); x=[x,zeros(1,n)]; subplot(2,2,1), stem(x); title('i/p sequence x(n)is:'); xlabel('---->n'); ylabel('---->x(n)');grid; h=[h,zeros(1,m)]; subplot(2,2,2),...

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2. Circular Convolution

2. Circular Convolution AIM: To verify Circular Convolution. EQUIPMENTS: Operating System – Windows XP    Constructor – Simulator Software - CCStudio 3 & MATLAB 7.5 PROGRAM: %circular convolution program clc; clear all; close all; disp('circular convolution program'); x=input('enter i/p x(n):'); m=length(x); h=input('enter i/p sequence h(n)'); n=length(h); subplot(2,2,1), stem(x); title('i/p sequencce x(n)is:'); xlabel('---->n'); ylabel('---->x(n)');grid; subplot(2,2,2),...

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3. FIR filters

 3. FIR filters AIM To verify FIR filters. EQUIPMENTS: Operating System – Windows XP Constructor - Simulator Software - CCStudio 3 & MATLAB 7.5 PROGRAM: %fir filt design window techniques clc; clear all; close all; rp=input('enter passband ripple'); rs=input('enter the stopband ripple'); fp=input('enter passband freq'); fs=input('enter stopband freq'); f=input('enter sampling freq '); wp=2*fp/f; ws=2*fs/f; num=-20*log10(sqrt(rp*rs))-13; dem=14.6*(fs-fp)/f; n=ceil(num/dem); n1=n+1; if(rem(n,2)~=0) n1=n; n=n-1; end c=input('enter...

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4. IIR filters

4. IIR filters AIM To design and implement IIR (LPF/HPF)filters. EQUIPMENTS: Operating System – Windows XP Constructor - Simulator Software - CCStudio 3 & MATLAB 7.5 PROGRAM: % IIR filters LPF & HPF clc; clear all; close all; disp('enter the IIR filter design specifications'); rp=input('enter the passband ripple'); rs=input('enter the stopband ripple'); wp=input('enter the passband freq'); ws=input('enter the stopband freq'); fs=input('enter the sampling freq'); w1=2*wp/fs;w2=2*ws/fs; [n,wn]=buttord(w1,w2,rp,rs,'s'); c=input('enter...

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5. Fast Fourier Transform

5. Fast Fourier Transform AIM: To verify Fast Fourier Transform. EQUIPMENTS: Operating System – Windows XP Constructor - Simulator Software - CCStudio 3 & MATLAB 7.5 PROGRAM: %fast fourier transform clc; clear all; close all; tic; x=input('enter the sequence'); n=input('enter the length of fft'); %compute fft disp('fourier transformed signal'); X=fft(x,n) subplot(1,2,1);stem(x); title('i/p signal'); xlabel('n --->'); ylabel('x(n) -->');grid; subplot(1,2,2);stem(X); title('fft of i/p x(n) is:'); xlabel('Real...

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6. Power Spectral Density

 6. Power Spectral Density AIM: To verify Power Spectral Density EQUIPMENTS: Operating System – Windows XP Constructor - Simulator Software - CCStudio 3 & MATLAB 7.5 PROGRAM: %Power spectral density t = 0:0.001:0.6; x = sin(2*pi*50*t)+sin(2*pi*120*t); y = x + 2*randn(size(t)); figure,plot(1000*t(1:50),y(1:50)) title('Signal Corrupted with Zero-Mean Random Noise') xlabel('time (milliseconds)'); Y = fft(y,512); %The power spectral density, a measurement of the energy at various frequencies, is: Pyy =...

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7. Sum of Sinusoidal Signals

7. Sum of Sinusoidal Signals AIM: To verify Sum of Sinusoidal Signals using MATLAB EQUIPMENTS: Operating System – Windows XP Constructor - Simulator Software - CCStudio 3 & MATLAB 7.5 PROGRAM: % sum of sinusoidal signals clc; clear all; close all; tic; %giving linear spaces t=0:.01:pi; % t=linspace(0,pi,20); %generation of sine signals y1=sin(t); y2=sin(3*t)/3; y3=sin(5*t)/5; y4=sin(7*t)/7; y5=sin(9*t)/9; y = sin(t) + sin(3*t)/3 + sin(5*t)/5 + sin(7*t)/7 + sin(9*t)/9; plot(t,y,t,y1,t,y2,t,y3,t,y4,t,y5); legend('y','y1','y2','y3','y4','y5'); title('generation...

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8. LPF & HPF

8. LPF & HPF AIM: To verify response of analog LPF & HPF using MATLAB EQUIPMENTS: Operating System – Windows XP Constructor - Simulator Software - CCStudio 3 & MATLAB 7.5  PROGRAM: % IIR filters LPF & HPF clc; clear all; close all; warning off; disp('enter the IIR filter design specifications'); rp=input('enter the passband ripple'); rs=input('enter the stopband ripple'); wp=input('enter the passband freq'); ws=input('enter the stopband freq'); fs=input('enter the sampling freq'); w1=2*wp/fs;w2=2*ws/fs; [n,wn]=buttord(w1,w2,rp,rs,'s'); c=input('enter choice...

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What is ADO.NET ? (Part - 1)

What is ADO.NET ?  What is ADO.NET? ADO.NET is not a different technology. In simple terms, you can think of ADO.NET, as a set of classes (Framework), that can be used to interact with data sources like Databases and XML files. This data can, then be consumed in any .NET application. ADO stands for Microsoft ActiveX Data Objects. The following are, a few of the different types of .NET applications that use ADO.NET to connect to a database,...

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SQLConnection object in ADO.NET (Part - 2)

SQLConnection object in ADO.NET (Part - 2) Step 1.Take an Grid View In Webform --------------------------------------------------C# Code ------------------------------------------------- Step 2 using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.UI; using System.Web.UI.WebControls; using System.Data.SqlClient; namespace WebApplication2 {     public partial class WebForm2 : System.Web.UI.Page  ...

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Robotic surgery

ABSTRACT Robotic surgery make use of Robots to perform surgery. Major potential advantages of robotic surgery are precision and miniaturization. With our skilled surgeons and the robotic system, we can now use minimally invasive techniques in even the most complicated procedures like Cardiac surgery, Gastrointestinal surgery, Gynecology, Neurosurgery, Orthopedics, Pediatrics, Urology etc. The software is "command central" for the device's...

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