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The figures for this example show a simple ava framework for pipelines and an example application The framework consists of a base class for pipeline stages, PipelineStage, shown in Fig 427, and a base class for pipelines, LinearPipeline, shown in Fig 428 Applications provide a subclass of PipelineStage for each desired stage, implementing its three abstract methods to indicate what the stage should do on the initial step, the computation steps, and the final step, and a subclass of LinearPipeline that implements its abstract methods to create an array containing the desired pipeline stages and the desired queues connecting the stages For the queue connecting the stages, we use LinkedBlockingQueue, an implementation of the BlockingQueue interface These classes are found in the javautil concurrent package These classes use generics to specify the type of objects the queue can hold For example, new LinkedBlockingQueue<String> creates a BlockingQueue implemented by an underlying linked list that can hold Strings The operations of interest are put, to add an object to the queue, and take, to remove an object, take blocks if the queue is empty The class CountDownLatch, also found in the javautilconcurrent package, is a simple barrier that allows the program to print a message when it has terminated Barriers in general, and CountDownLatch in particular, are discussed in the Implementation Mechanisms design space The remaining figures show code for an example application, a pipeline to sort integers Fig 429 is the required subclass of LinearPipeline, and Fig 430 is the required subclass of PipelineStage Additional pipeline stages to generate or read the input and to handle the output are not shown.

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We said in 1, "Facilis Descensus Averni," that we assume you're already familiar with (among other things) stored procedures, but here's a quick summary of syntax to refresh your memory Informix calls it Stored Procedure Language (SPL); Sybase and Microsoft call it Transact-SQL; Oracle calls it Procedure Language extensions to SQL (PL/SQL); the SQL Standard refers to Persistent Stored Modules (PSM) All these names refer to the same thing It's easy to see this if you write the same stored procedure in several dialects and put the statements in columns side by side, with each syntax element occupying one row We've taken the stored procedure declaration shown in Listing 11-1 and done this; the result is shown in Table 11-1 Although no two columns of Table 11-1 are exactly alike, the important thing the table shows is how similar the statements are to one another, and to the SQL Standard For example, if your background is Microsoft/Sybase, you just have to adapt to a few differences: Parameter and variable names do not begin with @; blocked statements are terminated explicitly (for example, IF END IF) as in Ada; the parameter list must be inside parentheses; semicolons are statement separators Those are just details We're confident that you'll be able to read our standard SQL PSM syntax examples regardless of your prior experience Table 11-1 Listing 11-1's Stored Procedure in Four SQL Dialects Microsoft/Sybase ANSI SQL PSM Informix SPL Transact-SQL Oracle PL/SQL CREATE CREATE CREATE PROCEDURE CREATE PROCEDURE PROCEDURE PROCEDURE Sp_proc1 Sp_proc1 Sp_proc1 Sp_proc1 (param1 INT) (param1 INT) @param1 INT (param1 IN OUT INT) MODIFIES SQL DATA BEGIN DECLARE num1 DEFINE num1 INT; AS DECLARE @num1 INT AS num1 INT; INT; BEGIN IF param1 <> 0 IF param1<> 0 IF @param1<> 0 IF param1 <> 0 THEN SET param1 = THEN LET param1 = SELECT @param1 = 1 1; 1; END IF; END IF; UPDATE Table1 SET UPDATE Table1 SET UPDATE Table1 SET column1 = param1; END column1 = param1; END PROCEDURE column1 = @param1 HEN param1 := 1; END IF; UPDATE Table1 SET column1 = param1; END;.

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Processing Progressive JPEG Files. Encode Barcode In Visual Studio .NET . Matrix Creator In VB.NET Using Barcode printer for .transform values may be different for negative values and, for the AC point transform, F(X = -F(-X) Figure 112 is an example of a component divided into 12 scans using a combination of spectral selection and successive approximation The spectral selection division is the same as that shown in Figure 111 The first scan in this example contains the DC coefficient with a successive approximation of 3 The remaining three spectral selection bands can be output in any order However, within each band, the scans that refine coefficients using successive approximation must be in strict order.Related: Crystal Barcode Generator SDK, .NET Barcode Generating , RDLC VB.NET Barcode Generation

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2 Recovery curves for two-level sources: linear approximation and numerical transform inversion with xponential and Pareto durations in the higher level; see Example . in the higher level; see Example 17.8.1. . COVARIANCE STRUCTURE. Encode Barcode In Visual Studio .NET .Related: Generate QR Code Word Size, Word QR Code Generating Image, Create QR Code ASP.NET Data

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Encode EAN13 In Java Using Barcode encoder for Java ."But there's no difference!" you may exclaim Well, semantically all four SELECTs are the same The trick, though, is that some DBMSs store parsed results from previous queries and will reuse them if the queries are precisely the same including spaces and capitalization So a firm, consistent style will not only make SQL statements easier to read it just might make them run faster! We're not going to give you a style guide here because that's not the purpose of this book But we will observe that the transform in the xample used some common and easy-to-remember rules:. 5 Creator In .NET Framework Using Barcode generator for .Related: EAN-8 Generator Java , Print ITF-14 .NET , UPC-E Generation Excel

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The New Breed of Untraceable Biometrics Encode qr code generate, create qr bidimensional barcode none for net [90] suggest applying an application-dependent secret transform to he minutiae set Another example of the transform for face biometrics can be found in reference 94 In the latter case, the scheme may be more secure against the re-usability attack even if the attacker knows the transform The reason is that the transform of reference 94 is designed in such a way that each pseudo-minutia is derived from all input features (rather than simply permuting the minutiae set [90]) Reference 136 also states that the phase-only lter of Mytec2 scheme (see Eq (2611)) is not secure against the re-usability attack In our opinion, this analysis is inadequate.

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