rdlc data matrix

rdlc data matrix

rdlc data matrix

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15.2.3 Roller-Chain Sprockets Definitions and Types. Four styles of sprockets are standardized in Ref. [15.1]. Style A is a flat plate with no hub extensions. Style B has a hub extension on one side of the plate (flange). Style C has hub extensions on both sides of the flange. The extensions do not have to be equal. Style D has a detachable hub. The style D hub is normally attached to the flange with bolts. Most sprockets have a central bore with a keyway and setscrew to mount them on a shaft. Many other configurations of sprocket hubs and bores may be found in manufacturers catalogs. Tooth Form. The tooth form and profile dimensions for single- and multiplestrand roller-chain sprockets are defined in Ref. [15.1]. Sprocket Diameters. There are five important sprocket diameters defined in Ref. [15.1]. They are pitch, outside, bottom, caliper, and maximum hub diameters. The equations for those diameters, shown in Fig. 15.2, are PD = P/sin (180/N) BD = PD D OD = P[0.6 cot (180 /N)] CD = PD cos (90 /N) D

Versioning Advantages and Disadvantages*

MHD = P[cot (180 /N) 1] 0.030

video and audio would play back in sync, even though they might be coming down different distribution systems and even though they are rendered by different, unlinked devices. A further implication is that the content producer authored twice, once for each platform. Unfortunately, there is currently nothing that guarantees that those two devices will render in sync with each other, but it is technically feasible to arrange things that way. With streaming media and appropriate standards, content authors can create and send packages of digital media, of varying types, together as a single bundle, with synchronization information embedded in that bundle. Receivers could choose the media types from the bundle to render, according to their capabilities, and render those in time with other devices. For authors of streaming content, the ability to create one bundle of media for all possible players is clearly attractive. Companies like Spotmagic are developing simulcast solutions and protocols. The logic behind simulcast authoring is compelling, since it enables streaming media producers to embrace the medium cost-effectively, thereby driving its growth. Unfortunately, the problem is not well enough understood for mass demand to compel the creation of simulcast solutions. This ought to change in the future. The need for simulcast exists, even if it isn t yet widely recognized.

The advantage of a versioning architecture is that, under the right circumstances, it can significantly increase the number of concurrent transactions that can execute in parallel Concurrent execution is becoming more and more important in large DBMS installations, especially those that support web sites that may have thousands or tens of thousands of concurrent users Versioning is also becoming more useful as the number of processors on typical DBMS server computer systems increases Servers containing 16 or more processors are becoming increasingly common, and large DBMS servers may support 64 or more processors in a symmetric multiprocessing (SMP) configuration These servers can actually execute many database-access applications in parallel by spreading the workload out over many processors The disadvantage of a versioning architecture is the internal DBMS overhead that it creates.

FIGURE 15.2 Roller-chain sprocket diameters. (Diamond Chain Company.)

One obvious overhead is the added memory and disk requirement of storing two or more copies of rows that are being updated In practice, a more serious overhead is the memory management required to allocate memory for each temporary copy of a row as it is needed (potentially thousands of times per second), and then releasing the memory to be reused when the older copies of the row are no longer needed An additional overhead is keeping track of which transactions should see which copies of which rows Implicitly, a versioning architecture is based on the underlying assumption that most concurrent transactions will tend not to interfere with one another If this assumption proves accurate (ie.

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, if concurrently executing transactions mostly access and update different rows, or if the transaction workload is dominated by READ operations rather than UPDATEs), then the added overhead of the versioning scheme will be more than offset by a significant boost in the amount of parallel work that can be performed If the assumption proves inaccurate (ie, if concurrently executing transactions tend to access and update the same rows), then the overhead of the versioning technique will tend to become very high, swamping the concurrency gains..