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For example, before HTTP 11, a Web browser had to wait for a response from the Web server before it could issue another request With the emergence of HTTP 11, this is no longer the case A Web browser can send requests in parallel, which saves bandwidth by not transmitting HTTP headers in each request This is likely to provide a performance boost at the end-user side because files requested in parallel will appear faster on the browser Simple, yet powerful file-based configuration: The Apache server does not come with a graphical user interface for administrators It comes with single primary configuration file called httpdconf that you can use to configure Apache to your liking All you need is your favorite text editor However, it is flexible enough to allow you spread out your virtual host configuration in multiple files so that a single httpdconf does not become too cumbersome to manage with many virtual server configurations Support for CGI (Common Gateway Interface): Apache supports CGI using the mod_cgi and mod_cgid modules It is CGI 11 compliant and offers extended features such as custom environment variables and debugging support that are hard to find in other Web servers See 12 for details Support for FastCGI: Not everyone writes their CGI in Perl, so how can they make their CGI pplications faster Apache has a solution for that as well Use the mod_fcgi module to implement a FastCGI environment within Apache and make your FastCGI applications blazing fast See 14 for details Support for virtual hosts: Apache is also one of the first Web servers to support both IP-based and named virtual hosts See 6 for details Support for HTTP authentication: Web-based basic authentication is supported in Apache It is also ready for message-digest-based authentication, which is something the popular Web browsers have yet to implement Apache can implement basic authentication using either standard password files, DBMs, SQL calls, or calls to external authentication programs See 7 for details Integrated Perl: Perl has become the de facto standard for CGI script programming Apache is surely one of the factors that made Perl such a popular CGI programming language Apache is now more Perl-friendly then ever before Using its mod_perl module, you can load a Perl-based CGI script in memory and reuse it as many times as you want This process removes the start-up penalties that are often associated with an interpreted language like Perl See 16 for details Support for PHP scripting: This scripting language has become very widely used and Apache provides great support for PHP using the mod_php module See 15 for details Java Servlet support: Java servlets and Java Server Pages (JSP) are becoming very commonplace in dynamic Web sites You can run Java servlets using the award-wining Tomcat environment with Apache See 17 for details.

Despite the fact the protocol is not documented by Microsoft, plenty of references are available to help build a good enough understanding of this protocol to be proficient in debugging it The history of LPC dates back to the first days of the Windows NT operating system, when the client-server architecture used at the core of the operating system called for new communication protocol meeting strong performance requirements The LPC protocol is supported by a suite of APIs implemented directly by the Windows kernel and exposed to user mode code by a series of functions implemented inside ntdlldll, having the ntdll!Nt[operation]Port form To understand how the protocol is used, engineers must have a basic idea about its behavior The basic communication happens in several important steps, as follows 1 The server initiates the protocol with the creation of a named port by calling the ntdll!NtCreatePort API The port is called the connection port 2 The server listens on that connection port for new communication requests using the ntdll!NtListenPort API The server must have a thread waiting on the connection port all the time 3 The client initiates a new connection by sending a connection request to the server by using the ntdll!NtConnectPort API The request is sent to the port created in step 1 4 The server examines the connection request and, based on its policies, accepts the connection by using the ntdll!NtAcceptConnectPort API followed by a ntdll!NtCompleteConnectPort call 5 After the connection has been established, both the client and the server are in possession of a communication port object that can be used for actual communication 6 The server starts a loop dedicated to the connection port in which it receives a new message, processes the message, and replies to the client using, for example, the ntdll!NtReplyWaitReceivePort API 7 The client uses ntdll!NtRequestWaitReplyPort to send a new request to the server and waits for the server to process it Step 6 and step 7 repeat for the duration of the entire conversation between the client and the server.

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However, based on previous experience with FRFS [163], it is expected that the selected feature subsets would overall make sense to an xpert It must also be noted, however, that it is dif cult to verify directly the quality of selected attributes, in default of a suitable quality metric The most accessible way is therefore to use the reduced and unreduced data to train a learning system, and compare the results This gives an indirect measure of subset quality The results of experimentation using linear regression can be found in Figure 132 It can be seen that both approaches perform similarly in terms of RMSE and MAE, with FRFS-based predictions somewhat more accurate in general This trend is re ected in the results for M5Prime (presented in Figure 133) and Pace (Figure 135) For SMOreg (Figure 13.

The secret to making this work is a form property called AutoScale When a form is first loaded, if AutoScale is set to true (the default), it uses another property called AutoScaleBaseSize This property is actually set by the Designer and specifies the average width and height of characters in the form's font The default font 825-point MS Sans Serif under Windows XP Normal fonts has an average width and height of 5x13 This information will be encoded into the InitializeComponent function: thisAutoScaleBaseSize = new Size(5, 13); Under Large fonts, the default font will be 78-point MS Sans Serif, but the average width and height of the font has now increased to 6x15 (that's why they call it "Large" fonts) At load time, the form calls FormGetAutoScaleSize and notices the difference between the scale it was designed with and the current scale, and the form adjusts its height and width and those of its controls along with the positions of the controls This keeps the "feel" of the form roughly the same, no matter what the system font settings re In our sample, the form's client area width increased from 296 to 378 (~27%) as the width of the font went from 5 to 6 (~20%) Similarly, the height increased from 54 to 66 (~22%) as the height of the font went from 13 to 16 (~23%) Rounding errors make the scaling imperfect, and it seems that WinForms uses a little fudge factor to make sure that things are big enough But in general, the auto-scaling should yield forms that look pretty good given the amount of work you had to do to achieve the effect (~0%). Generate Code-39 In .NET Using Barcode generation for ASP .Related: Generate EAN-13 .NET , Create EAN 128 .NET , Print UPC-A .NET

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6) the results for both methods are very similar, which is to be expected as SVM methods are not sensitive to feature selection It is worth reiterating that the task of the system is to reduce the number of measurements that must be obtained while maintaining prediction performance This is clearly the case in these experiments Figure 134 shows the results for the BPNN-based predictor Here a small difference in performance can be seen between the two approaches The method that incorporates FRFS produces some improvement in accuracy for each algae estimation problem Again, note that the improvement in accuracies are obtained with fewer measured variables, which is important for dynamic systems where observables are often restricted, or where the cost of obtaining more measurements is high In the river algae domain, for instance, providing different measurements has different 39 Drawer In VBNET Using Barcode encoder for .

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