Deployment Tools

In order to maximize the value of the applied thermodynamics system throughout the enterprise, it must be accessible to all process engineers and chemists who require accurate thermophysical property calculations in their daily work. Web applications, which do not require installation of the calculation engine on the user s computer, facilitate ea.sy access to the system. Web applications can be designed to provide pure component data such as normal boiling point and critical properties. They can also provide access to the most frequently carried out calculations, such as phase equilibrium calculations, tabulation, and plotting of pure component properties as a function of temperature and pressure, and mixture property calculations. 

As an alternative to the Add-In, users can also develop their own Excel Macros to call the programmable interfaces that have been published. 

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Electrode surface activation can be improved simply by electrochemical pretreatment. Determination of nitroaromatic compounds in water and soil spiked samples have been reported at electrochemically activated carbon-fiber microelectrodes. No interference was found from compounds such as hydrazine, phenolic compounds, carbamates, triazines or surfactants. The detection limit obtained can be approximately 0.03 iigml-1 for all the nitroaromatic compounds (Agui et al. 2005). Chen and coworkers reported an effective field-deployable tool for detecting nitroaromatic compounds with an electrochemically pre-anodized screen-printed carbon electrode (SPE) (Chen et al. 2006). 

Which tool is best for developing expert systems The answer is that it depends on the job to be done and the resources available. How large is the problem to be solved Are professional programmers and/or knowledge engineers available to create the system Is broad hardware compatibility an issue Which is more important, development time or system performance time Is the system to be distributed How important is cost These questions are some of the considerations in the choice of development and deployment tools. 

The detection of explosive compounds has received considerable attention for national security and environmental applications [1]. Such security and environmental have generated major demands for effective field-deployable tools for detecting organic explosives in a fast, simple, sensitive, reliable and cost-effective manner. 

A number of different ways were originally considered for removing the loops. The initial methods were to use the reactor refuelling machine or a heavily shielded facility constructed on the reactor cap. The loops (Figure 6) are so constructed that they could be drawn into such a facility and then size reduced ready for disposal. For various reasons, including the lack of a suitable repository for the cut tubes, a decision was taken to delay loop removal until after the RDM had been installed. As a consequence the loops must now be removed using remotely-deployed tooling mounted on the reactor internals. 

MATLAB will launch its deployment tool starting with the first window, as shown in Fig. 11.25. For example, we would like to create a console application for body mass index (BMI) shown in Sec. 11.6. Name the project BMI with. prj extension and choose the proper location. 

Figure 11.25 The first pop-up window that appears upon launching the MATLAB deployment tool. The deployment tool window of BMI.prj is shown in Fig. 11.26.

Figure 11.27 The deployment tool window for BMI.prj (console application) with the addition of the main (save2file.m) file and the shared resource save2file.fig (GUI) file.

Similar to software development, where changes of source code elements are checked in into a revision system and then distributed to other team members through update operations, changes made in one engineering tool mentioned above should also be propagated to other engineering tools to provide a consistent view on the system in all involved deployed tools. 

Resources are not limited to human resources, as stated in Part 2 Chapter 1. You need to ensure that the design groups are equipped with the necessary design tools, equipment, and facilities with which to execute the tasks. Once you have asked each group to propose how they are to meet the requirements, you then need to ensure that they have the capability of doing so. This is less of a problem in-house as with subcontractors. Due to their remoteness and the keen competition, they may make claims they cannot fulfill. In controlling the design you need to ensure that adequate resources are deployed by the subcontractors and to do this pre-contract surveys and assessments need to be performed. This is implied in clause 4.6. 

In spite of the potential benefit, the possibilities of logistics simulation are often not fully exploited. Some reasons are a lack of knowledge about the basic metbod-ology and the available simulation tools, the fact that simulation models are rarely deployed more than once, and simulation investigations are often integrated into the planning process too late. 

Overall, the microreactor provides greater safety for individuals and equipment and reduces the likelihood of loss of process and the consequent disruption and even loss of sales that can follow. In common with other fine chemical manufacturers, most pharmaceutical companies have programs to capture the benefits of flow microreactors as adjuncts to or even replacements for their current batch methods for scaling up production of candidate molecules to satisfy clinical and manufacturing needs. This paper attempts to demonstrate that microreactors can be deployed more widely in pharmaceutical R D than as a tool for enhanced production and that they have the potential to underpin significant paradigm shifts in both early- and late-phase R D. 

Policy makers, practitioners, and scholars from a variety of disciplines have recently embraced a new approach to risk reduction in health care—a "systems approach"—without proposing any specific reforms of medical liability law. The Institute of Medicine (IOM) placed its imprimatur on this approach in its recent reports (Kohn et al., 2000 IOM, 2001). In its simplest form, a systems approach to risk reduction in health care posits that an injury to a patient is often the manifestation of a latent error in the system of providing care. In other words, a medical mishap is the proverbial "accident waiting to happen" because the injury-preventing tools currently deployed, including medical liability law, are aimed at finding the individuals at fault rather than the systemic causes of error. Coexistence of a systems approach to error reduction and medical liability law as a conceptual framework for policy makers implies that the latter is likely to evolve in an incremental fashion as the former makes more visible different aspects of the medical error problem. 

In some situations it can be useful to further distinguish the specification of a component, an executable that implements that spec, a particular installation of that executable, and a running incarnation of that executable that is available as a server. We will use the term component loosely to include all these. A tool or metamodel that dealt more fully with component deployment and management would separate them. 

Deployment plan From as-is to to-be via a transition plan, including installation scripts, upgrade and migration tools, user documents, user training... 

Deployment It is in this phase that the business or domain makes its transition to the to-be model, adopting new processes, hardware, and software. It involves things such as software and hardware installation, tools to upgrade or migrate to new releases, documentation, acceptance testing, and user and administrator training. Note that user docu-... 

In September 2003, UPS unveiled a new technology system that will further improve customer service and provide greater internal efficiency. When fully deployed, the new system is expected to reduce mileage by more than 100 million miles and save the company almost 14 million gallons of fuel. It features advanced tools that allow UPS to analyze and edit dispatch plans to optimize delivery routes and times. 

This chapter introduced application of simple variographic experiments as a basis for problem-dependent deliberations as to an optimal deployment of increment/sample sampling rate, r, and/or compositing using Q increments/sample. The variographic experiment constitutes the most powerful process sampling data analysis tool available. 

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