2: thread pooling in Java

Creation qr codes in Java 2: thread pooling

<persistence-unit name="dvdstore-catalog"> <jta-data-source>java:/DefaultDS</jta-data-source> <properties> <!-- regular Hibernate Core configuration --> <property name="hibernate.dialect" value="org.hibernate.dialect.H2Dialect"/> <property name="hibernate.hbm2ddl.auto" value="create-drop"/> <!-- Hibernate Search configuration --> backend <!-- JMS backend --> <property name="hibernate.search.worker.backend" JNDI URL the value="jms"/> queue is <property name="hibernate.search.worker.jndi.url" looked up value="jnp://master:1099"/> <property name="hibernate.search.worker.jms.connection_factory" value="/ConnectionFactory"/> Connection <property name="hibernate.search.worker.jms.queue" factory JNDI value="queue/hibernatesearch"/> name </properties> JMS queue </persistence-unit> JNDI name
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Figure 17.10 Many ESBs support a three-tier concept. The lowest tier consists of functional, discrete services. These services are composed together in the service orchestration layer, and are exposed to provide a comprehensive business service.
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After you ve verified the existence of a source, you can tell the image picker to use it with the sourceType property. For example, to use the camera, do the following:
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image-processing application. Image processing is a broad field encompassing many applications across almost every industry. Perhaps the most familiar example of an image-processing application is optical character recognition (OCR). OCR can be implemented via a number of different algorithms. Many image-processing algorithms begin by attempting to identify the target object within a still image or frame of a video. One classic technique for separating an object from the background is known as edge detection. An edge detection algorithm analyzes the image looking for the outlines of any objects within the image, be they characters or any other object. The application that accompanies this chapter, named UA2E_FindEdges, implements a classic imageprocessing algorithm known as Sobel Edge Detection.1 Using UA2E_FindEdges, you ll use the Android camera to acquire a photo and then find all of the edges within the image. The algorithm to be used has been ported from another platform in the C programming language, compiled into a native code library, and employed by an Android SDK Java application. The chapter wraps up with a demonstration of integrating the NDK into the Eclipse build environment, permitting a nearly seamless experience for the developer.
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Diagram of the Android AIDL process
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Now you need to set the event handler for the radio buttons. Double-click rbTree to be taken to the CheckChanged event. You want pnlTree to be visible when this button is checked, and pnlMenu to be invisible, so add this code to the event handler:
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IndexReader reader = readerProvider.openReader(provider); return new IndexSearcher(reader); } } score => 0.5944051 0.5944051 = (MATCH) sum of: 0.5944051 = (MATCH) fieldWeight(description:salesman in 471), product of: 1.4142135 = tf(termFreq(description:salesman)=2) 5.379941 = idf(docFreq=5, numDocs=479) 0.078125 = fieldNorm(field=description, doc=471) score => 0.58843106 0.58843106 = (MATCH) sum of: 0.58843106 = (MATCH) fieldWeight(description:salesman in 57), product of: 1.0 = tf(termFreq(description:salesman)=1) 5.379941 = idf(docFreq=5, numDocs=479) 0.109375 = fieldNorm(field=description, doc=57) score => 0.42030787 Target document moved 0.42030787 = (MATCH) product of: to lower score 0.84061575 = (MATCH) sum of: 0.84061575 = (MATCH) fieldWeight( description:salesman in 108), Match on salesman product of: 1.0 = tf(termFreq(description:salesman)=1) 5.379941 = idf(docFreq=5, numDocs=479) 0.15625 = fieldNorm(field=description, doc=108) 0.0 = (MATCH) weight(description:reeves^0.0 in 108), product of: 0.0 = queryWeight(description:reeves^0.0), product of: 0.0 = boost 5.2257905 = idf(docFreq=6, numDocs=479) 0.18587564 = queryNorm 1.1547475 = (MATCH) fieldWeight( description:reeves in 108), Match on reeves product of: 1.4142135 = tf(termFreq(description:reeves)=2) 5.2257905 = idf(docFreq=6, numDocs=479) 0.15625 = fieldNorm(field=description, doc=108) 0.5 = coord(2/2)
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PdfReader reader = new PdfReader(SIGNED2); AcroFields af = reader.getAcroFields(); ArrayList<String> names = af.getSignatureNames(); for (String name : names) { out.println("Signature name: " + name); out.println("Signature covers whole document: " + af.signatureCoversWholeDocument(name)); out.println("Document revision: " + af.getRevision(name) + " of " + af.getTotalRevisions()); PdfPKCS7 pk = af.verifySignature(name); Calendar cal = pk.getSignDate(); Certificate[] pkc = pk.getCertificates(); out.println("Subject: " + PdfPKCS7.getSubjectFields(pk.getSigningCertificate())); out.println("Revision modified: " + !pk.verify()); Object fails[] = PdfPKCS7.verifyCertificates(pkc, ks, null, cal); if (fails == null) out.println("Certificates verified against the KeyStore"); else out.println("Certificate failed: " + fails[1]); }
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In some projects, the development of an application is driven by developers analyzing the business domain in object-oriented terms. In others, it s heavily influenced by an existing relational data model: either a legacy database or a brandnew schema designed by a professional data modeler. There are many choices to be made, and the following questions need to be answered before you can start:
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MIDP=\midp-fcs MIDPClasses=\midp-fcs\classes MIDPTools=\midp-fcs\bin
Beginning with PDF 1.7, the type string is further qualified in the documentation as text string, PDFDocEncoded string, ASCII string, and byte string depending upon how the string is used in each particular context. Name
Of course, although the output is correct for this particular input, it isn t quite the same as the original Trim function it isn t removing all possible whitespace characters, just the ones we happened to remember to list. There are a surprising number of different characters that represent whitespace as well as your basic ordinary space, .NET recognizes a character for an en space (one the same width as the letter N), an em space (the same width as M), a thin space, and a hair space, to name just a few. There are more than 20 of the things! Example 10-79 shows a function that will trim all whitespace, plus any additional characters we specify.
Table 7.6 Nonatomic transaction Operation 10 + 30 + 45 + 15 = 85
Getting ready for the SDK
When such tools are available, they usually do a good job. For other situations, however, you are pretty much on your own. The problems with most of these solutions are:
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