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We can brie y examine one popular database solution, (leaving detailed discussion to Part 2, e-Business Systems Architecture). Even before Web servers were much in evidence, database systems often acted as servers to application clients. Initially this was conducted using proprietary interfaces, which of course leads to lock-in to a speci c vendor. To facilitate the use of PC-based applications, Microsoft produced middleware software that can run as an application service and offers an open interface. This software, Open Database Connectivity (ODBC) can allow PC applications to talk to a variety of relational databases, through standard SQL queries. ODBC also allows les within the DBMS to be referred to by name, rather than by their precise location in the database. Although it was originally designed for the Windows operating system, ODBC has now been recognised as a standard by the SQL Access Group and it has been ported to a number of mainframes as well as to Macintosh and UNIX environments and further developed to handle non-relational databases [26]. Note that the connection of a database to a Web server is one obvious application requirement, but there are others: in particular, the ability to complete a customer s order, by extracting credit-card details and carrying out a credit transfer is another that is frequently required. Harnessing these other applications is part of the construction of an end-to-end n-tiered business architecture, which generally requires a component-based solution. This will be explored further, in Part 2, e-Business Systems Archi-

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The angle that is a solution of the above problem satis es the equation 2 1,1 (S) sin(2 ) = , cos(2 ) 2,0 (S) 0,2 (S) which is an analog to (12.11). So, the shape orientation de ned by the axis of the least second moment of inertia is well motivated and easy to compute in both continuous and discrete versions. As expected, there are some situations when the method does not give any answer as

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where D (cm2 s 1) and C (mM) are the diffusion coefficient and the concentration of the metal ion, m (mg s 1) is the mercury flow rate, and s (s) is the drop time. We can determine from Eq. (8.2) the values of D for solvated metal ions. The value of D changes with changes in solvent or solvent composition. The viscosity (g) of the solution also changes with solvent or solvent composition. However, the relation between D and g can be expressed by the Stokes-Einstein relation: D kB T 6pgrs

You can see how useful it is to have access to JavaBeans in your JSP pages. You may be wondering if you can leverage your beans across several JSPs in your application. Well, you don t have to wonder anymore! The following section discusses how to use your beans with multiple JSPs in your application.

6.1 CODE FOR CENSORED DATA HISTOGRAMS In this section we present the R program for constructing censored data histograms based on the Kaplan Meier estimate of the survivor function. The program also computes rough estimates of candidate parametric models and overlays these estimates on a plot of the censored data histogram for each state-to-state waiting time. The main program is called cdh.r (cdh for censored data histogram ). It calls R functions kmhist.r and overlay.r. The default histogram computed by the program is that of (4.14) and the default is set in kmhist.r. The function kmhist.r calls a C subroutine, cdh.c. These functions do not change with each

In conventional (crisp) classi cation problem, a sample is considered either a member of a class or not a member (i.e., the degree of class membership is binary). In fuzzy classi cation, a sample is considered to belong to more than one class (i.e., different classes) with different degrees of membership. The task of fuzzy classi cation is to select the best- t class to which the particular sample in question belongs. In the following sections, an example of fuzzy classi cation is presented.

You see that JSP allows you, the JSP programmer, to use Java code in your JSP pages in interesting and flexible ways. However, you have additional capabilities that do not involve embedding Java code in your JSP page. JSP supports a variety of standard actions, which are covered in the next section.

Survival Flooded Above Root Crown Reference Comments Flood Inundation Length (day) Yes Yes Yes 1460 189 73 Yeager, 1949 Bell and Johnson, 1974 Harris et al., 1975 Hall and Smith, 1955 99% survival after 73 days. Survived if ooded less than 41% of growing season. 64% survival after 730 days. No No No No No No No No No No No No No No 240 189 1460 730 Yeager, 1949 Bell and Johnson, 1974 Yeager, 1949 Yeager, 1949 Hall and Smith, 1955 730 730 148 1460 73 114 149 67 Yeager, 1949 Yeager, 1949 Brunk et al., 1975 Yeager, 1949 Harris et al., 1975 Bell and Johnson, 1974 Bell and Johnson, 1974 Harris et al., 1975 Hall and Smith, 1955 40% survival.

Sun Microsystems and its business partners set out to achieve several goals when they jointly developed the EJB architecture This section introduces these goals and offers some insights into the underlying intentions and meanings The EJB specification document, available at http://javasuncom/products/ejb/docshtml, contains the goals for the EJB architecture Our discussion in this section will focus on the general goals of the architecture Later in this chapter we will discuss goals added in new releases of the EJB specification 1 The Enterprise JavaBeans architecture will be the standard component architecture for building distributed object-oriented business applications in the Java programming language According to this goal, any organization developing server-side distributed software components in Java must follow the standards set by the EBJ specification.

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