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Best practices are deployed at several levels. Proper planning before implementing a high-availability solution eliminates (or at least reduces) problems before they occur. This includes things such as system configuration, power planning, and facilities. At another level, best practices are incorporated into functional tasks such as system management, network monitoring, and backups. As the highest level, best practices are a set of consistent operational procedures. The following is the priority order to be followed when designing and building a new environment: 1. Supported configuration This should have a high precedence during the design or deployment phase. The system and environment must meet vendor-provided support criteria. 2. Best practices They must be applied for proper configuration as long as supportability issues are not violated. 3. Performance tuning Every supported and properly configured system must be tuned. Determining the optimum tuning parameters for a particular configuration requires several iterations. There are social and technical impediments to implementing best practices. Various folks in your company may resist assimilating knowledge and suggestion from outside sources. Organizations have some rules of thumb, and traditional wisdom is easier to sell and deploy. There is resistance to yield to new knowledge and acceptance of a new set of best practices. Many DBAs and SAs believe that two-thirds of potential performance gains in an application come from the code developers. There is little that the DBAs and SAs can do. Resistance to accepting new best practices could also be caused by a previous miserably failed deployment of suggestions. Best practices usually apply to many cases, and possible downside potentials should be documented. Discipline is a vital requirement for success. Good discipline includes implementation of proper design, adequate testing, designing scaleable code, proper change control-procedures and contracts management, and sufficient training for those responsible for critical systems.

(1998) review several such HDR rendering algorithms and it is worth noting that several papers were presented on the topic at SIGGRAPH 2002 (Fattal et al 2002, Durand and Dorsey 2002, Reinhard et al 2002), illustrating continued interest in the topic Since iCAM includes spatially localized adaptation and spatially localized contrast control, it can be applied to the problem of HDR image rendering Since the encoding in our visual system is of a rather low dynamic range, this is essentially a replication of the image appearance processing that goes on in the human observer and is being modeled by iCAM Figure 207 illustrates application of the iCAM model to HDR images obtained from Debevec <wwwdebevecorg> The images in the left column of Figure 20.

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7 are linear renderings of the original HDR data normalized to the maximum presented simply to illustrate how the range of the original data exceeds a typical 24-bit (8 bits per RGB channel) image display For example, the memorial image.

Figure 3.22. Frequency distances of neighboring interference fringes during one Q-switch pulse measured with the FPI similar to that in Fig. 3.21. The SBS materials were xenon and CO2. Their Brillouin frequencies are marked as horizontal lines (CO2 ; xenon - -- -). For CO2 also the spectral distance of the longitudinal modes of the start resonator are marked as thinner horizontal lines.

Figure 25.15 CAD-PACS integration prototype in the laboratory environment showing two systems: the CAD server for AIH, and the PACS simulator. The leftmost component is the CAD server running an AIH case study. Other components are the PACS simulator (see s 7 and 28). The PACS simulator has all the essential components of a real PACS, including a modality simulator, DICOM gateway, PACS server, and PACS WS. It is used for PACS training and for testing the functionality of CAD-PACS integration. The PACS WS is located at the rightmost position with the same AIH case shown on the monitor of the CAD server. A physician reads the case at the PACS WS with and without the CAD-assistance.

Long integers are similar to integers, except that the maximum and minimum values of long integers are restricted only by how much memory you have (yes, you really can have long integers with thousands of digits). To differentiate between the two types of integers, you append an L to the end of long integers:

( expression1 ) expression2 : expression3;

Summary

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A Hazop study is a common identification technique used to examine proposed systems, equipment and procedures systematically and in detail Its objective is to identify potential hazards to people, the environment, the plant or operations and the proposed methods for their control It particularly examines the effects of deviations from the design intent by asking a series of questions based on prompts or guide words: for example, High pressure, how might it arise If it did arise, what would be the potential consequences A Hazop study is usually conducted when the design for a proposed system, plant or production unit is at or nearing completion Piping and instrument diagrams (P&IDs), sometimes termed process and instrument diagrams, are usually available, the control strategy including start-up and shutdown has been defined and the basic operating procedures have been specified.

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