rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

rdlc data matrix

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The left branch is the content branch graph, holding program-specific content such as geometry, lighting, textures, and the world s background. The content branch graph differs significantly from one application to another. The ColorCube is composed from a Shape3D node and associated Geometry and Appearance components. Its rotation is carried out by a Behavior node, which affects the TransformGroup parent of the ColorCube s shape. The right branch below Locale is the view branch graph, and specifies the user s position, orientation, and perspective as he looks into the virtual world from the physical world (e.g., from in front of a monitor). The ViewPlatform node stores the viewer s position in the virtual world; the View node states how to turn what the viewer sees into a physical world image (e.g., a 2D picture on the monitor). The Canvas3D node is a Java GUI component that allows the 2D image to be placed inside a Java application or applet. The VirtualUniverse, Locale, and view branch graph often have the same structure across different applications, since most programs use a single Locale and view the virtual world as a 2D image on a monitor. For these applications, the relevant nodes can be created with Java 3D s SimpleUniverse utility class, relieving the programmer of a lot of graph construction work.

Determining the Converted Radian Values mysql> SELECT -> zcta -> , lat_degrees -> , lat_degrees * (PI() / 180) AS lat_radians -> , long_degrees -> , long_degrees * (PI() / 180) AS long_radians -> FROM ZCTA -> ORDER BY RAND() -> LIMIT 5; +-------+-------------+-------------+--------------+--------------+ | zcta | lat_degrees | lat_radians | long_degrees | long_radians | +-------+-------------+-------------+--------------+--------------+ | 61568 | 40513657 | 070709671 | -89474083 | -156161734 | | 42728 | 37123196 | 064792200 | -85275620 | -148834034 | | 75060 | 32802681 | 057251479 | -96954987 | -169218375 | | 37316 | 34995041 | 061077869 | -84729515 | -147880901 | | 71270 | 32524761 | 056766417 | -92646965 | -161699458 | +-------+-------------+-------------+--------------+--------------+ 5 rows in set (0.

Listing 2 12. Loading Content from a subdirectory _smileyTexture = Content.Load<Texture2D>("Graphics/SmileyFace");

13 sec) As you can see, the radian values will fit nicely in a column of DECIMAL(9,8) However, because our degrees columns are a DECIMAL(9,6), we ll experience some truncating of values down to the lowest common denominator when we INSERT the converted radian values So, we add the columns as DECIMAL(9,6) and INSERT the converted degree values, as shown in Listing 8-38 Listing 8-38 Loading the New Radian Values mysql> ALTER TABLE ZCTA -> ADD COLUMN lat_radians DECIMAL(9,6) NOT NULL -> , ADD COLUMN long_radians DECIMAL(9,6) NOT NULL; Query OK, 32038 rows affected (024 sec) Records: 32038 Duplicates: 0 Warnings: 0.

The core strengths of Java 3D are its scene graph, performance, collection of unique features, Java integration, and extensive documentation and examples.

TIP If you use multiple Content projects, you can forego setting the RootDirectory property altogether and instead specify the Content project s root directory name as part of the path provided to Content.Load.

Finally, under the line Query Barrel Report for client smacker1, you see the output of the benchmark test (highlighted in Listing 6-3). The first highlighted line shows a breakdown of the times taken to connect for the clients we requested. The number of clients should match the number from your command line. The following lines contain the output results of each type of query contained in the smack file. In this case, there was only one query type, called select_index. In our run, Super Smack executed 2,000 queries for the select_index query type. The corresponding output line in Listing 6-3 shows that the minimum and maximum times for the queries were all under 1 millisecond (thus, 0), and that 4,982.79 queries were executed per second (q_per_s). This last statistic, q_per_s, is what you are most interested in, since this statistic gives you the best number to compare with later benchmarks.