Software WHAT CHECK

Rheological model (a) Is it appropriate for the experimental data (b) How reliable is the model parameter estimation software Has the reliability of the software been checked (c) What are you looking for in the data (e.g., effect of temp.) (d) Compare experimental data with a model s predictions because values often do not indicate the appropriateness of the model for the selected data ... 

An advantage of simulation is lack of device, simulated by vendor software, what is cheaper way of checking its proper operation into a network, than buying a device. A disadvantage of described method is delimitation of software s functionality only to specific vendor. There is no possibility to check, in virtual way, how network devices made by different manufactures would be cooperate. 

However, these requirements go further than merely controlling the devices used for measurement. They address the measurements themselves, the selection of the devices for measurement and also apply to devices which create product features, if they are used for product verification purposes. If you rely on jigs, tools, fixtures, templates, patterns, etc. to form shapes or other characteristics and have no other means of verifying the shape achieved, these devices become a means of verification. If you use software to control equipment, simulate the environment or operational conditions, or carry out tests and you rely on that software doing what it is supposed to do, without any separate means of checking the result, the quality of such software becomes critical to product verification. In fact the requirements apply to metrology as a whole rather than being limited to the equipment that is used to obtain the measurement and therefore a more appropriate title of the section would be Control of measurements . 

This requirement is similar to that stated in clause 4.11.2 of the standard and addressed later in this chapter. The checks and rechecks required to prove that the software is capable of verifying the acceptability of product are a means of calibrating test software. However, test software does not wear or drift with age or use and so cannot be calibrated against a standard traceable to national standards. To control test software you need to consider what it is that you need to control. As a minimum you should control its use, modification, location (in terms of where it is installed), replication, and disposal. Requirements for other controls are covered in clause 4.11.2 of the standard, where they can be applied to test software. 

Unfortunately, most of these applications are designed for their specific tasks only. There is currently no software architecture that integrates them into a network that would enable intelligent interaction between them. This is where the future lies. For example, a sensor could recognize the opening of a window and make the heating control of a radiator shut down. The same information about the window could also be built into a security system that would then check what caused the window to open. An alarm would be set off if the person who opened it is not recognized. 

An extremely important step is to check the specific requirements of the publication and to follow them. Journals often specify a format, the number of pages, what software package or file formats are acceptable, how to cite references, and many other aspects of manuscript preparation. 

These three sections are combined in such a way that you may use all these educational tools interactively with your PC. In this way as you leam about the basics in theory, you directly apply what you have leamt in practice following the instructions given in the numerous Check its. You experience step by step the scope of the powerful software modules, their advantages and limitations and you acquire the necessary skills to become an expert in NMR data processing. It is essential at this stage to exploit and make use of the powerful HELP routines if necessary. In contrast to the introductory... 

Please check with the system administrator responsible for your local network, which transfer protocols are available at your local site and what additional hardware and software will be required for networking your PC. 

A relatively easy option in user-friendly software is to look at the frontier MOs. To obtain these, you can simply request (via a pull-down menu or pop-up menu when setting up the calculation) that the MOs be computed. In fact, since you may not know ahead of time what information will prove useful, and since it does not add much overhead (running time) to the calculation, it is good to always ask for the MOs and MEP to be produced. The highest occupied MO (HOMO) and lowest unoccupied (LUMO) are commonly examined, but sometimes the shapes of somewhat lower or somewhat higher MOs also need to be checked. 

Check what has changed with computer system instrumentation, computer hardware, and computer software. Do design documents reflect these changes ... 

The validation of a PLC cannot be viewed as a stand-alone operation. PLCs are there for a purpose — to provide automotive functionality. A project Validation Master Plan that details what other validation (equipment qualification, validation of other automated systems) is required. An overall project plan timetable must be in place in order to ensure, e.g., that validation of the PLC does not adversely delay the qualification of important equipment. Where the PLC is to communicate with another PLC embedded into an item of equipment, the link as well as the validated, as well as the individual PLCs, but the link cannot be validated until the software processing the information from the particular I/O point is validated. The deflnition of the boundaries of each validation prevents unnecessary duplication. For PLCs, it is best to use the I/O cards as the boundary. A final check from HMI to the device can then be performed to ensure the system works in its entirety. 

Preparing an Upgrade Report Once you have made your choices, Setup will finally go through and examine your system for compatibility issues. This involves checking all hardware and software that is currently installed can be found, and it also involves creating a detailed upgrade report. Once it is finished you will be allowed to do two things provide updated files for any incompatible hardware and view a report of what the compatibility check has found. 

Author s Comments Let us do a quick sanity check here. According to the company official, the right valne is 47(xH. The dnty cycle is abont 0.5. The switching freqnency of this part is 52kHz, so the time period is abont 20(xs. Therefore the off-time is abont 10(xs. If the ontpnt is 5V, the A/ is VAt/L = 5 x 10/47 = 1 A. This is way too mnch. Yon typically want a current ripple of +20%, that is, a A/ of 0.4 x /q = 0.32A in onr case. To decrease the AI from lA to the more appropriate 0.32A, we need to acmally increase the indnctance three times, that is, from 47(xH to abont 150(xH. And that is closer to what the datasheet says. So in this case the advice to move away from the datasheet to the software tool is actnaUy strange. 

Archiving of software and documentation What is archived, for how long (software, revisions, source code, documentation) Where is the source code archived Can the source code be made accessible to regulatory agencies Is a periodic check of data integrity ensured ... 

Let us deal with the fundamentals of what the data processing does. Initial checks should determine that the controls have been placed in particular positions on the plate as shown in Fig. 2. A typical set of OD data for the controls is shown in Table 1. The data is processed to calculate PI% values and are shown in Table 2. The processing can be by hand (calculator) or through the use of dedicated software (as in the case of rinderpest ELISA). The formula for calculating the PI% value is as follows ... 

An interesting and useful classification of steps used to assure quality of analytical data (Bansal 2004) has drawn a clear distinction between quahfication of apparatus used to obtain the data and validation of the methods developed to use the apparatus to obtain the data pertinent to a particular analytical problem. Overlaid on this distinction is another, that between tests that must be completed satisfactorily before acquisition of the desired analytical data can begin (instrument quahfication and method vah-dation) on the one hand, and those that are conducted immediately before or simultaneously with data acquisition (system suitability and quahty control checks) on the other. The original paper (Bansal 2004) represented the outcome of a workshop intended to fiU a need for a more detailed scientific approach to what was termed Analytical Instrument Quahfication (AIQ) , particularly in the context of applications in the pharmaceutical industry. Note in particular that qualification of both hardware and software plays an important role in method validation. 

The process summary document then identifies the extent to which the outputs of that process have met the safety objectives. Did all of the tests pass If not, what was the pass rate and where are the failures recorded and analyzed Were all of the tests carried out exactly as specified If not what were the deviations and what are the consequences for the safety objectives Were all of the tests completed If not where is it stated which parts of the software are not tested Since this part of the assessment of evidence is concerned with process compliance, additional backing evidence for the safety case can be provided through quality auditing to check that processes are being properly carried out. 

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