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25: J2EE Design Patterns The best definition of a pattern is provided by Jim Coplien on his Patterns Definitions page (http://hillside.net/patterns/definition.html). According to this definition, a pattern has the following characteristics: It solves a problem Patterns capture solutions, not just abstract principles or strategies. The solution is a proven concept Patterns capture solutions with track records, not theories or speculation. The solution isn't obvious Many problem solving techniques (such as software design paradigms or methods) try to derive solutions from first principles. The best patterns generate solutions to problems indirectly a necessary approach for the most difficult problems of design. It describes a relationship Patterns don't just describe modules, but describe deeper system structures and mechanisms. The pattern has a significant human component All software serves human comfort or quality of life; the best patterns explicitly appeal to aesthetics and utility. Standard patterns Design patterns as a standard tool of the software architect came into being in 1994, with the release the book appropriately named Design Patterns. The book had four authors: Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides. Together they have affectionately become known as The Gang of Four or GoF. This book has formed the reference point for all the patterns that can be considered standard. The revelation of the GoF approach was not that they defined something completely new, but that they took all the existing knowledge, classified it, and gave each idea an identifiable name. You are probably familiar with the four main design patterns, but you may not know their names: model view controller (MVC), command, observer, and factory.

and a new application of the Borel Cantelli lemma gives P(lim supn Fn ) = 0. So if [lim supn En ] [lim supn Fn ], we have at the same / time, X(kn /2n )( ) X(t)( ) as n because t X(t) is continuous, and X(kn /2n )( ) Y (t)( ) because |Y (t) X(kn /2n )| < (2 n ) for n n1 ( ) for some integer n1 ( ). This proves that X(t)( ) = Y (t)( ) for almost every . Corollary 1.7 Assume that the process Y = {Y (t) : t [0, 1]} satis es one of the following conditions for t, t + h [0, 1]:

<xsd:element name="street" type="xsd:string" /> <xsd:element name="city" type="xsd:string" /> <xsd:element name="state" type="xsd:string" /> <xsd:element name="zip" type="xsd:string" /> </xsd:sequence> <xsd:element name="phone"> <xsd:simpleType> <xsd:restriction base="integer"> <xsd:minInclusive value="2000000000"/> <xsd:maxInclusive value="9999999999"/> </xsd:restriction> </xsd:simpleType> </xsd:element> </xsd:group> </xsd:complexType>

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platform via various network protocols. We used Infolets as an abstraction to integrate with diverse types of backend enterprise information systems. Gateways and Infolets are decoupled by reliable message queues on the basis of JMS. We believe JMS-based messaging system provides mature and adequate functions to our mobile EIS. Our solution to mobile EIS including the integrated architecture and application of middleware technologies seamlessly integrates mobile clients with enterprise systems. The solution allows us to decouple issues of interacting with diverse types of mobile devices from issues of integrating with a variety of enterprise systems (e.g., ERP, email, and employee services). It satis es our enterprise requirements for designing and developing mobile EIS discussed in the chapter. Among the challenges of mobile EIS, our solution handles the variation of devices, unpredictable connectivity, and diverse enterprise information systems well. Its ability to tailor different types of data contents to a variety of devices (another challenge) is adequate for the case of transforming engineering drawings for presentations to devices of different sizes and resolutions. How good the presentations are, that is, the usability of the presentations from the end user s perspective is yet to be studied. Content tailoring to device pro les is one of the future directions we are pursuing. Other future directions include Security, Integration, QoS, and Ef ciency.

2:8-5

Figure 8.15 Near-infrared spectra of four commercial spirits (cf. SAQ 8.4) [12]. From McClure, W. F. and Stan eld, D. L., Near-Infrared Spectroscopy of Biomaterials , in Handbook of Vibrational Spectroscopy, Vol. 1, Chalmers, J. M. and Grif ths, P. R. (Eds), pp. 212 225. Copyright 2002. John Wiley & Sons Limited. Reproduced with permission.

Cooking usually makes pasta double in size. When preparing long pasta, measure around the bundle of pasta with a measuring tape to calculate the amount you need for a serving using the following guidelines: 21 2 inches (6 cm) is 3 oz (90 g) = about 1 serving 41 2 inches (11 cm) is 8 oz (250 g) = about 2 to 3 servings 51 4 inches (12.5 cm) is 12 oz (375 g) = about 4 servings

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